The document is a presentation by Mohamed Abuella that outlines his background, motivation, and research experience. It includes:
- An introduction to Abuella's background in electrical engineering and interests in areas like AI and sustainability.
- His motivation for professional advancement through collaboration and personal advancement through better alignment with interests.
- An overview of his research experience including projects in Libya on electrical systems and a master's thesis on optimal power flow optimization using particle swarm methods.
Optimal design and static simulation of a hybrid solar vehicleIRJASH
This paper deals with the design and simulation analysis of the hybrid solar vehicle under static conditions. The solar hybrid vehicle is effective in our everyday lives because many people have petrol cars and the emissions and fuel cost is now a serious problem. In addition to controlling vehicles pollution in the city, reduced fuel consumption and hybrid solar car use is used in vehicles to effectively reduce global warming and the environmental challenge in large-scale applications. In the last ten years, research has taken place on a large quantity of solar, hybrid solar and electrically operated cars, which is originating from several independent developments that all resulted in the idea of hybrid solar car and electric operated car. A hybrid solar vehicle was successfully designed, analyzed and fabricated at the end of this research.
Key words: Hybrid Vehicle, Solar vehicle, Fuel Efficiency, Static analysis
Akshay Vaishnav Palle is seeking a full-time position in electrical engineering starting in May 2016. He has a Master of Science in electrical and computer engineering from Michigan Technological University with a 3.95 GPA. His research focuses on embedded control systems and electro-mechanics. He has internship experience with optical fiber networks and communication products. Palle also has teaching assistant experience and has authored papers on antenna probes and digital hierarchy.
IRJET- Review Paper on Residential Grid Connected Photovoltaic System using M...IRJET Journal
This document summarizes a research paper about designing a residential grid-connected photovoltaic (solar) system using MATLAB. It begins by discussing the increasing global energy demand and issues with non-renewable sources. Solar energy is presented as a viable renewable alternative. The paper then reviews literature on solar cell modeling and maximum power point tracking (MPPT) algorithms. It describes the basic working principle of solar cells and the MATLAB software used for modeling and simulation. Simulation results are shown for the designed solar system model connected to the grid. The conclusion discusses the benefits of solar energy and potential for improving MPPT under changing environmental conditions.
Final year project ideas for electrical engineering eepowerschool.comMuhammad Sarwar
Final year project is the ultimate achievement of an electrical engineering graduate. The idea
of a final year project is to practically implement the technical and professional skills learned.
Graduates work on different final year project ideas. The title of an FYP should be novel and
the project must have a positive impact on the society. Many students choose their FYP topic
in a haste, and at the end of completion, it’s no good for them. So, choose your final year
project wisely and give a lot of thinking while choosing final year project ideas for your
electrical engineering degree.
This post gives a complete list of final year project ideas for electrical engineering students. A
short summary (or synopsis) of the project has also been given to get the complete
understanding of the project. The summary contains a short introduction, methodology and
project outcomes.
Undergraduate students of BSEE are encouraged to pick a topic that would implement a novel
research idea. Though, only simulations can also be used instead of a design project. Various
simulation softwares are available to implement the FYP e.g, Matlab/Simulink, Power World
Simulator, ETAP, Digsilent PowerFactory, PSCAD etc.
A. Mohammed Ovaiz is seeking a career in the power industry where he can learn about emerging technologies and take on challenging roles. He has 6 years of teaching experience and 3 years of experience in power sector operations and maintenance. He holds an M.E. in Power Electronics and Drives with high marks and a B.E. in Electrical and Electronics Engineering also with high marks. He has expertise in various power-related fields and has published papers in international journals and conferences.
The document discusses the impact of photovoltaic (PV) systems on distribution networks. It summarizes that PV generation depends on sunlight levels which causes intermittent fluctuations that can impact network voltage regulation. Higher PV penetration levels can cause reverse power flow and voltage rise issues. The document uses OpenDSS software to model a 13-bus test system and analyze the effects of PV integration on voltage performance and losses under different scenarios. Mitigation strategies are also proposed to control voltage fluctuations from PV plants.
Sumit Ravi Naidu is seeking an entry-level position in electrical and electronic engineering. He has a Master's degree in electrical engineering from Texas A&M University and a Bachelor's from Bhilai Institute of Technology in India. His experience includes teaching assistant roles at Texas A&M and internships at power plants in India where he worked on PLCs, DCS, and developed control programs. His projects involve power system analysis, renewable energy control systems, and modeling a thermal power plant. He is proficient in programming languages, power and control systems tools, and office software.
This document describes a project to develop a solar powered wireless battery charging system for electric vehicles. The system uses solar panels to generate DC power from sunlight which charges batteries. An inverter converts the DC power from the batteries to 110V AC power identical to a standard electric outlet to charge electric vehicles. The charging station could be installed in various public locations to make charging more convenient. The project aims to help promote electric vehicle adoption while utilizing renewable solar energy, thereby reducing greenhouse gas emissions. Researchers hope to gain knowledge on designing solar photovoltaic systems and their applications through this project.
Optimal design and static simulation of a hybrid solar vehicleIRJASH
This paper deals with the design and simulation analysis of the hybrid solar vehicle under static conditions. The solar hybrid vehicle is effective in our everyday lives because many people have petrol cars and the emissions and fuel cost is now a serious problem. In addition to controlling vehicles pollution in the city, reduced fuel consumption and hybrid solar car use is used in vehicles to effectively reduce global warming and the environmental challenge in large-scale applications. In the last ten years, research has taken place on a large quantity of solar, hybrid solar and electrically operated cars, which is originating from several independent developments that all resulted in the idea of hybrid solar car and electric operated car. A hybrid solar vehicle was successfully designed, analyzed and fabricated at the end of this research.
Key words: Hybrid Vehicle, Solar vehicle, Fuel Efficiency, Static analysis
Akshay Vaishnav Palle is seeking a full-time position in electrical engineering starting in May 2016. He has a Master of Science in electrical and computer engineering from Michigan Technological University with a 3.95 GPA. His research focuses on embedded control systems and electro-mechanics. He has internship experience with optical fiber networks and communication products. Palle also has teaching assistant experience and has authored papers on antenna probes and digital hierarchy.
IRJET- Review Paper on Residential Grid Connected Photovoltaic System using M...IRJET Journal
This document summarizes a research paper about designing a residential grid-connected photovoltaic (solar) system using MATLAB. It begins by discussing the increasing global energy demand and issues with non-renewable sources. Solar energy is presented as a viable renewable alternative. The paper then reviews literature on solar cell modeling and maximum power point tracking (MPPT) algorithms. It describes the basic working principle of solar cells and the MATLAB software used for modeling and simulation. Simulation results are shown for the designed solar system model connected to the grid. The conclusion discusses the benefits of solar energy and potential for improving MPPT under changing environmental conditions.
Final year project ideas for electrical engineering eepowerschool.comMuhammad Sarwar
Final year project is the ultimate achievement of an electrical engineering graduate. The idea
of a final year project is to practically implement the technical and professional skills learned.
Graduates work on different final year project ideas. The title of an FYP should be novel and
the project must have a positive impact on the society. Many students choose their FYP topic
in a haste, and at the end of completion, it’s no good for them. So, choose your final year
project wisely and give a lot of thinking while choosing final year project ideas for your
electrical engineering degree.
This post gives a complete list of final year project ideas for electrical engineering students. A
short summary (or synopsis) of the project has also been given to get the complete
understanding of the project. The summary contains a short introduction, methodology and
project outcomes.
Undergraduate students of BSEE are encouraged to pick a topic that would implement a novel
research idea. Though, only simulations can also be used instead of a design project. Various
simulation softwares are available to implement the FYP e.g, Matlab/Simulink, Power World
Simulator, ETAP, Digsilent PowerFactory, PSCAD etc.
A. Mohammed Ovaiz is seeking a career in the power industry where he can learn about emerging technologies and take on challenging roles. He has 6 years of teaching experience and 3 years of experience in power sector operations and maintenance. He holds an M.E. in Power Electronics and Drives with high marks and a B.E. in Electrical and Electronics Engineering also with high marks. He has expertise in various power-related fields and has published papers in international journals and conferences.
The document discusses the impact of photovoltaic (PV) systems on distribution networks. It summarizes that PV generation depends on sunlight levels which causes intermittent fluctuations that can impact network voltage regulation. Higher PV penetration levels can cause reverse power flow and voltage rise issues. The document uses OpenDSS software to model a 13-bus test system and analyze the effects of PV integration on voltage performance and losses under different scenarios. Mitigation strategies are also proposed to control voltage fluctuations from PV plants.
Sumit Ravi Naidu is seeking an entry-level position in electrical and electronic engineering. He has a Master's degree in electrical engineering from Texas A&M University and a Bachelor's from Bhilai Institute of Technology in India. His experience includes teaching assistant roles at Texas A&M and internships at power plants in India where he worked on PLCs, DCS, and developed control programs. His projects involve power system analysis, renewable energy control systems, and modeling a thermal power plant. He is proficient in programming languages, power and control systems tools, and office software.
This document describes a project to develop a solar powered wireless battery charging system for electric vehicles. The system uses solar panels to generate DC power from sunlight which charges batteries. An inverter converts the DC power from the batteries to 110V AC power identical to a standard electric outlet to charge electric vehicles. The charging station could be installed in various public locations to make charging more convenient. The project aims to help promote electric vehicle adoption while utilizing renewable solar energy, thereby reducing greenhouse gas emissions. Researchers hope to gain knowledge on designing solar photovoltaic systems and their applications through this project.
This document presents a model for a photovoltaic (PV) array with maximum power point tracking (MPPT) using a boost converter. It describes:
1) Modelling of PV cell, boost converter, and inverter components in MATLAB Simulink.
2) Development of an averaged model for a PV array connected to a boost converter with MPPT control using the incremental conductance algorithm.
3) Simulation results showing the model operating at maximum power point under changing irradiance conditions and having higher efficiency compared to without MPPT control.
Modelling of PV Array with MPP Tracking & Boost DC-DC ConverterIOSR Journals
This document presents a model for a photovoltaic (PV) array with maximum power point tracking (MPPT) using a boost converter. It describes:
1) Modelling of PV cell, boost converter, and inverter components in MATLAB Simulink.
2) Development of an averaged model for a PV array connected to a boost converter with MPPT control using the incremental conductance algorithm.
3) Simulation results showing the model operating at maximum power point under changing irradiance conditions and having higher efficiency compared to without MPPT control.
An advanced multilevel converter topology with Reduced switching elementsAsoka Technologies
Smart grid applications, renewable energy utilization and electric vehicles (EVs) are attracting researchers due to their importance nowadays as well as in the future. An efficient power electronic converter is a main and common topic for research in this area. In this paper, a prototype of the electrical part of a power-train for EVs using an advanced multilevel converter topology is introduced, discussed and analysed. A comparison between the advanced converter, two-level and conventional multilevel converter topology is discussed as well. A switch function model is derived and discussed for the proposed converter. A mathematical model for the converter supplied by a fuel-cell (FC) and boost-converter (BC) is implemented with Matlab/Simulink. The simulation results are analysed to evaluate the converter. The evaluation is based on the harmonic analysis and power loss calculations. The converters are tested at different switching frequencies to show the effect of this variable on the converter loss. The results indicate that the proposed converter is 1.32% more efficient compared to conventional five-level DCC. Moreover, the lowest harmonic content, for all of the studied converters, is the proposed one
This course covers various topics related to power system planning and reliability as well as digital protection techniques. The topics include load forecasting, generation and transmission system reliability analysis, expansion planning, distribution system planning, digital signal processing techniques, algorithmic techniques for digital relaying, digital protection techniques for transformers and transmission lines, and decision making in digital protective relays. The course aims to develop students' ability to apply these concepts and techniques for power system planning, analysis, and protection.
A Management of power flow for DC Microgrid with Solar and Wind Energy SourcesAsoka Technologies
Today there is a rapid proliferation of DC loads into the market and DC micro grid with renewable energy sources is emerging as a possible solution to meet growing energy demand. As different energy sources like solar, wind, fuel cell, and diesel generators can be integrated into the DC grid, Management of power flow among the sources is essential. In this paper, a control strategy for Management of power flow in DC micro grid with solar and wind energy sources is presented. As the regulation of voltage profile is important in a standalone system, a dedicated converter is to be employed for maintaining the DC link voltage. DC link voltage is regulated by the battery circuit while maximum power is extracted from Solar and Wind to feed the loads connected at the DC bus. A power flow algorithm is developed to control among three sources in the DC Microgrid. The algorithm is tested for various load conditions and for fluctuations in solar and wind power in MATLAB/SIMULINK environment.
This article describes a multi-objective optimization approach to determine the optimal sizing and placement of distributed generation (DG) units in a distribution system. The objectives are to minimize total real power losses and total DG installation cost. A weighted sum method is used to combine the objectives into a single scalar function. Constraints include power flow equations and limits on voltage, generation capacity, and line flows. The problem is formulated as a non-linear program and solved using sequential quadratic programming. The method provides a set of Pareto optimal solutions, from which a compromise solution can be selected using fuzzy decision making. The approach is demonstrated on a 15-bus test system.
Power Consumption Prediction based on Statistical Learning Techniques - David...Data Science Milan
Early power estimation is a critical requirement for both SoC (system-on-chip) architects and marketing, which must provide competitive, yet realistic, power consumption RFQs (request for quotation) to customers in order to achieve design wins. RFQs based on deterministic techniques may work reasonably well when there is enough information, and the available data closely match the target design. However, this approach can be strongly design dependent, and the same model, which provided a good estimate on one design/technology, may fail on another design/technology with different specs and operating conditions. In this talk, we will present an innovative approach for early power consumption estimation based on statistical learning. The proposed statistical model has been compared against existing RFQs, and validated on two taped-out products for networking in leading-edge CMOS technology.
Davide Pandini holds a Laurea Degree (Summa cum Laude) in Electronics Engineering from the University of Bologna, Italy, a Ph.D. in Electrical Engineering and Telecommunications from the University of Padova,Italy, and a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, U.S.He was a research intern at Philips Research Labs. in Eindhoven, the Netherlands, and at Digital EquipmentCorp., Western Research Labs. in Palo Alto, CA.He joined STMicroelectronics in Agrate Brianza, Italy, in 1995, where he is a R&D manager and a senior member of the technical staff. His current research interests include signal and power integrity, variation-tolerant design, design for manufacturing, statistical design, and EMC-aware design. Dr. Pandini has authored and coauthored more than fifty papers in international journals and conference proceedings, and during the academic years from 1998 to 2000, he was a visiting professor at the University of Brescia, Italy. He is a work-package manager in several funded European projects, and he is on the program committee of several international conferences. In 2008 Dr. Pandini was the recipient of the ST Corporate STAR 2008 Gold Award for leading the R&D excellence team on EMC-aware design. Since June 2015, Dr. Pandini is the Chairman of the Steering Committee of the ST Italy Technical Staff. In September 2015, Davide Pandini served as Volunteer at EXPO2015 "Feeding the Planet, Energy for Life", in Milano, Italy.
IRJET- An Optimal Algorithm for Data Centres to Minimize the Power SupplyIRJET Journal
This document summarizes research on developing an optimal algorithm for data centers to minimize power supply. It discusses using data centers to provide ancillary services like voltage stability and optimal power flow calculations to power systems in exchange for compensation. The document reviews several related works on using genetic algorithms and geographic load balancing to optimize data center power management. It proposes a mutually beneficial ancillary services model and service level agreement between data centers and power systems to maximize profits for both while ensuring reliable power system operation.
Recent Master’s Research Topic Ideas for Electrical and Electronics Engineeri...Tutors India
The present article helps the USA, the UK and the Australian students pursuing their computer Science postgraduate degree to identify the right topic in the area of Computer Science Electrical and Electronics Engineering. These topics are researched in-depth at the University of Glasgow, UK, Sun Yat-sen University, University of St Andrews and many more. Tutors India offers UK Dissertation Research Topics Services in Computer Science Electronics Engineering Domain. When you Order Computer Science Dissertation Services at Tutors India, we promise you the following – Plagiarism free, Always on Time, outstanding customer support, written to Standard, Unlimited Revisions support and High-quality Subject Matter Experts
-----------------
Contact:
Website: www.tutorsindia.com
Email: info@tutorsindia.com
United Kingdom: +44-1143520021
India: +91-4448137070
Whatsapp Number: +91-8754446690
Recent Master’s Research Topic Ideas for Electrical and Electronics Engineeri...Tutors India
The present article helps the USA, the UK and the Australian students pursuing their computer Science postgraduate degree to identify right topic in the area of Computer Science Electrical and Electronics Engineering. These topics are researched in-depth at the University of Glasgow, UK, Sun Yat-sen University, University of St Andrews and many more. Tutors India offers UK Dissertation Research Topics Services in Computer Science Electronics Engineering Domain. When you Order Computer Science Dissertation Services at Tutors India, we promise you the following – Plagiarism free, Always on Time, outstanding customer support, written to Standard, Unlimited Revisions support and High-quality Subject Matter Experts
-----------------
Contact:
Website: www.tutorsindia.com
Email: info@tutorsindia.com
United Kingdom: +44-1143520021
India: +91-4448137070
Whatsapp Number: +91-8754446690
Human Powered Dc Micro Grid ElectrificationIRJET Journal
This document describes a proposed system to generate electricity from human power using a bicycle. The system would utilize the motion of pedaling to spin a generator and charge a battery pack. The battery could then power a small DC microgrid. Simulations were conducted of the electrical components like a buck-boost converter and lithium-ion battery charging. The mechanical design includes a gear and sprocket system to increase the generator speed for optimal output. The goal is to develop a low-cost way to capture wasted human pedaling energy and put it to use.
The document summarizes the internship report of Vanam Bhanusai Simha at Mahindra Research Valley. The internship involved understanding hybrid automobile strategies and the E-Drive testbed. The assigned mini-project was to build a control strategy for a load motor on the testbed using Simulink. This required learning about hybrid vehicle components, tools like MATLAB and Simulink, and differential equations. The intern gained experience testing electric motors on the testbed to verify their characteristics for use in hybrid vehicles.
This paper presents a simulation of a DC/DC buck-boost converter for integrating a solar PV generation system into a DC nano-grid. The simulation models an MPPT algorithm to extract maximum power from the solar PV module and regulate the output voltage of the buck-boost converter at 12V and 24V using PI control. The proposed system directly feeds the maximum available DC power from the solar PV module to the DC nano-grid loads, improving efficiency by reducing conversion stages. The simulation results demonstrate the buck-boost converter maintaining a constant voltage on the DC bus regardless of variations in solar PV generation.
The document is a presentation by Mohamed Abuella about himself and his research. It includes:
- An introduction to Abuella's background and interests in electrical engineering, power systems analysis, renewable energy integration, and artificial intelligence.
- An outline of his research experience including projects in Libya on electrical systems and a master's thesis on optimal power flow with wind power.
- Details of his PhD thesis on solar power forecasts and developing a method to adjust hour-ahead forecasts using day-ahead forecasts and ramp rates.
- His work applying machine learning techniques like random forests to improve probabilistic solar power forecasts and evaluating the improvements.
- Other research on modeling solar and wind energy potential in Libya and
Vessel Path Identification in Short-Sea ShippingMohamed Abuella
This document discusses clustering ship path data from two vessels, Cinderella II and an unnamed vessel, into meaningful segments. For Cinderella II data containing over 200,000 data points over 124 trips from July to November 2022 in the Baltic Sea, various clustering algorithms were applied including k-means, Gaussian mixture models, and hierarchical clustering using a distance matrix, achieving up to 100% accuracy. The unnamed vessel data containing over 39,000 data points over 1,754 trips was clustered into three groups. Random forest classification was also able to classify over 200,000 test points from Cinderella II into five path classes with 100% precision, recall and F1-score.
Data Analytics for Improving Energy Efficiency in Short-Sea ShippingMohamed Abuella
Descriptive, Predictive, and Prescriptive Analytics for Improving Energy Efficiency in Short-Sea Shipping. This project presents the major findings of the data analytics for improving the fuel consumption of a passenger ship in Archipelago of Gothenburg, Sweden.
Wind energy analysis for some locations in libyaMohamed Abuella
Modeling, Planning, and Analysis for Wind Energy in Libya.
17 Locations have been chosen for Modeling, Planning, and Analysis of Wind Energy for Different Locations in Libya, ...they are: Tripoli, Misurata, Tarhunah, Ghanima, Msallata, Zuwara, Gharyan, Sirte, Benghazi, Magrun, Derna, Houn, Gadamis, Sabha, Kufra, Tobruk, Jaghbub
Also, a comparison with Berlin in Germany has been conducted alongside the Libyan locations.
Planning and Analysis for Solar Energy in LibyaMohamed Abuella
This document analyzes solar energy potential across nine locations in Libya using typical meteorological year data. It finds that southern Libyan locations generally yield more solar energy but northern locations still have good potential compared to other world regions. The average net capacity factor across Libya is about 30%. Variability is higher for coastal locations than southern Sahara locations. Aggregating solar resources across multiple locations reduces variability and slightly increases capacity factors, demonstrating the benefits of geographic diversification for solar power deployment in Libya.
Adjusting post processing approach for very short-term solar power forecastsMohamed Abuella
This document presents research on adjusting post-processing approaches for very short-term solar power forecasts. It begins with motivating the need for solar power forecasts, then describes the methodology used which includes data collection from 3 PV sites, data preparation involving cleaning, imputation and detrending, and forecasting models including persistence, ARIMA, NAR, ANN and ELM. The models' forecasts are combined using random forest, and the combined forecasts are adjusted using a novel approach involving fitting to target-horizon and double target-horizon forecasts and their ramp rates. The adjusted forecasts and a simple average approach are evaluated on 9 cases across locations and horizons using RMSE. The adjusting approach achieves lower RMSE than the simple average
Short Presentation: Mohamed abuella's Research HighlightsMohamed Abuella
- A post-processing approach combines and improves solar power forecasts and adjusts the combined forecasts in terms of ramp events.
- The approach classifies all possible thresholds and classes of ramp event forecasts and uses a customized cost function for imbalanced classification of ramp events.
- Suitable metrics are used for the feature selection process and performance evaluation, along with an uncertainty analysis for probabilistic forecasts of solar power ramp events.
The presentation models and analyzes wind and solar energy resources for four US locations: Charlotte NC, Boston MA, Boulder CO, and Tucson AZ. Data on wind speed, solar irradiance, and other factors are used to calculate the energy output and net capacity factor for each location. Boston generally has the highest wind energy potential while Tucson has the greatest solar energy potential. Further work could involve modeling renewable energy backed by energy storage systems.
Hourly probabilistic solar power forecasts 3vMohamed Abuella
This document summarizes a presentation on hourly probabilistic solar power forecasting. It discusses:
1) The need for solar power forecasting to address the variability of solar generation. Various forecasting models and horizons are used.
2) The combined physical and statistical approach used to generate solar power forecasts, which includes solar plant modeling, numerical weather prediction, and statistical corrections.
3) The models evaluated include multiple linear regression, artificial neural networks, and support vector regression. Ensemble learning with random forests is used to combine the models' outputs.
4) Probabilistic forecasting methods evaluated include ensemble-based, analog ensemble, and persistence approaches. Different probability distributions are generated.
5)
This document presents a model for a photovoltaic (PV) array with maximum power point tracking (MPPT) using a boost converter. It describes:
1) Modelling of PV cell, boost converter, and inverter components in MATLAB Simulink.
2) Development of an averaged model for a PV array connected to a boost converter with MPPT control using the incremental conductance algorithm.
3) Simulation results showing the model operating at maximum power point under changing irradiance conditions and having higher efficiency compared to without MPPT control.
Modelling of PV Array with MPP Tracking & Boost DC-DC ConverterIOSR Journals
This document presents a model for a photovoltaic (PV) array with maximum power point tracking (MPPT) using a boost converter. It describes:
1) Modelling of PV cell, boost converter, and inverter components in MATLAB Simulink.
2) Development of an averaged model for a PV array connected to a boost converter with MPPT control using the incremental conductance algorithm.
3) Simulation results showing the model operating at maximum power point under changing irradiance conditions and having higher efficiency compared to without MPPT control.
An advanced multilevel converter topology with Reduced switching elementsAsoka Technologies
Smart grid applications, renewable energy utilization and electric vehicles (EVs) are attracting researchers due to their importance nowadays as well as in the future. An efficient power electronic converter is a main and common topic for research in this area. In this paper, a prototype of the electrical part of a power-train for EVs using an advanced multilevel converter topology is introduced, discussed and analysed. A comparison between the advanced converter, two-level and conventional multilevel converter topology is discussed as well. A switch function model is derived and discussed for the proposed converter. A mathematical model for the converter supplied by a fuel-cell (FC) and boost-converter (BC) is implemented with Matlab/Simulink. The simulation results are analysed to evaluate the converter. The evaluation is based on the harmonic analysis and power loss calculations. The converters are tested at different switching frequencies to show the effect of this variable on the converter loss. The results indicate that the proposed converter is 1.32% more efficient compared to conventional five-level DCC. Moreover, the lowest harmonic content, for all of the studied converters, is the proposed one
This course covers various topics related to power system planning and reliability as well as digital protection techniques. The topics include load forecasting, generation and transmission system reliability analysis, expansion planning, distribution system planning, digital signal processing techniques, algorithmic techniques for digital relaying, digital protection techniques for transformers and transmission lines, and decision making in digital protective relays. The course aims to develop students' ability to apply these concepts and techniques for power system planning, analysis, and protection.
A Management of power flow for DC Microgrid with Solar and Wind Energy SourcesAsoka Technologies
Today there is a rapid proliferation of DC loads into the market and DC micro grid with renewable energy sources is emerging as a possible solution to meet growing energy demand. As different energy sources like solar, wind, fuel cell, and diesel generators can be integrated into the DC grid, Management of power flow among the sources is essential. In this paper, a control strategy for Management of power flow in DC micro grid with solar and wind energy sources is presented. As the regulation of voltage profile is important in a standalone system, a dedicated converter is to be employed for maintaining the DC link voltage. DC link voltage is regulated by the battery circuit while maximum power is extracted from Solar and Wind to feed the loads connected at the DC bus. A power flow algorithm is developed to control among three sources in the DC Microgrid. The algorithm is tested for various load conditions and for fluctuations in solar and wind power in MATLAB/SIMULINK environment.
This article describes a multi-objective optimization approach to determine the optimal sizing and placement of distributed generation (DG) units in a distribution system. The objectives are to minimize total real power losses and total DG installation cost. A weighted sum method is used to combine the objectives into a single scalar function. Constraints include power flow equations and limits on voltage, generation capacity, and line flows. The problem is formulated as a non-linear program and solved using sequential quadratic programming. The method provides a set of Pareto optimal solutions, from which a compromise solution can be selected using fuzzy decision making. The approach is demonstrated on a 15-bus test system.
Power Consumption Prediction based on Statistical Learning Techniques - David...Data Science Milan
Early power estimation is a critical requirement for both SoC (system-on-chip) architects and marketing, which must provide competitive, yet realistic, power consumption RFQs (request for quotation) to customers in order to achieve design wins. RFQs based on deterministic techniques may work reasonably well when there is enough information, and the available data closely match the target design. However, this approach can be strongly design dependent, and the same model, which provided a good estimate on one design/technology, may fail on another design/technology with different specs and operating conditions. In this talk, we will present an innovative approach for early power consumption estimation based on statistical learning. The proposed statistical model has been compared against existing RFQs, and validated on two taped-out products for networking in leading-edge CMOS technology.
Davide Pandini holds a Laurea Degree (Summa cum Laude) in Electronics Engineering from the University of Bologna, Italy, a Ph.D. in Electrical Engineering and Telecommunications from the University of Padova,Italy, and a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, U.S.He was a research intern at Philips Research Labs. in Eindhoven, the Netherlands, and at Digital EquipmentCorp., Western Research Labs. in Palo Alto, CA.He joined STMicroelectronics in Agrate Brianza, Italy, in 1995, where he is a R&D manager and a senior member of the technical staff. His current research interests include signal and power integrity, variation-tolerant design, design for manufacturing, statistical design, and EMC-aware design. Dr. Pandini has authored and coauthored more than fifty papers in international journals and conference proceedings, and during the academic years from 1998 to 2000, he was a visiting professor at the University of Brescia, Italy. He is a work-package manager in several funded European projects, and he is on the program committee of several international conferences. In 2008 Dr. Pandini was the recipient of the ST Corporate STAR 2008 Gold Award for leading the R&D excellence team on EMC-aware design. Since June 2015, Dr. Pandini is the Chairman of the Steering Committee of the ST Italy Technical Staff. In September 2015, Davide Pandini served as Volunteer at EXPO2015 "Feeding the Planet, Energy for Life", in Milano, Italy.
IRJET- An Optimal Algorithm for Data Centres to Minimize the Power SupplyIRJET Journal
This document summarizes research on developing an optimal algorithm for data centers to minimize power supply. It discusses using data centers to provide ancillary services like voltage stability and optimal power flow calculations to power systems in exchange for compensation. The document reviews several related works on using genetic algorithms and geographic load balancing to optimize data center power management. It proposes a mutually beneficial ancillary services model and service level agreement between data centers and power systems to maximize profits for both while ensuring reliable power system operation.
Recent Master’s Research Topic Ideas for Electrical and Electronics Engineeri...Tutors India
The present article helps the USA, the UK and the Australian students pursuing their computer Science postgraduate degree to identify the right topic in the area of Computer Science Electrical and Electronics Engineering. These topics are researched in-depth at the University of Glasgow, UK, Sun Yat-sen University, University of St Andrews and many more. Tutors India offers UK Dissertation Research Topics Services in Computer Science Electronics Engineering Domain. When you Order Computer Science Dissertation Services at Tutors India, we promise you the following – Plagiarism free, Always on Time, outstanding customer support, written to Standard, Unlimited Revisions support and High-quality Subject Matter Experts
-----------------
Contact:
Website: www.tutorsindia.com
Email: info@tutorsindia.com
United Kingdom: +44-1143520021
India: +91-4448137070
Whatsapp Number: +91-8754446690
Recent Master’s Research Topic Ideas for Electrical and Electronics Engineeri...Tutors India
The present article helps the USA, the UK and the Australian students pursuing their computer Science postgraduate degree to identify right topic in the area of Computer Science Electrical and Electronics Engineering. These topics are researched in-depth at the University of Glasgow, UK, Sun Yat-sen University, University of St Andrews and many more. Tutors India offers UK Dissertation Research Topics Services in Computer Science Electronics Engineering Domain. When you Order Computer Science Dissertation Services at Tutors India, we promise you the following – Plagiarism free, Always on Time, outstanding customer support, written to Standard, Unlimited Revisions support and High-quality Subject Matter Experts
-----------------
Contact:
Website: www.tutorsindia.com
Email: info@tutorsindia.com
United Kingdom: +44-1143520021
India: +91-4448137070
Whatsapp Number: +91-8754446690
Human Powered Dc Micro Grid ElectrificationIRJET Journal
This document describes a proposed system to generate electricity from human power using a bicycle. The system would utilize the motion of pedaling to spin a generator and charge a battery pack. The battery could then power a small DC microgrid. Simulations were conducted of the electrical components like a buck-boost converter and lithium-ion battery charging. The mechanical design includes a gear and sprocket system to increase the generator speed for optimal output. The goal is to develop a low-cost way to capture wasted human pedaling energy and put it to use.
The document summarizes the internship report of Vanam Bhanusai Simha at Mahindra Research Valley. The internship involved understanding hybrid automobile strategies and the E-Drive testbed. The assigned mini-project was to build a control strategy for a load motor on the testbed using Simulink. This required learning about hybrid vehicle components, tools like MATLAB and Simulink, and differential equations. The intern gained experience testing electric motors on the testbed to verify their characteristics for use in hybrid vehicles.
This paper presents a simulation of a DC/DC buck-boost converter for integrating a solar PV generation system into a DC nano-grid. The simulation models an MPPT algorithm to extract maximum power from the solar PV module and regulate the output voltage of the buck-boost converter at 12V and 24V using PI control. The proposed system directly feeds the maximum available DC power from the solar PV module to the DC nano-grid loads, improving efficiency by reducing conversion stages. The simulation results demonstrate the buck-boost converter maintaining a constant voltage on the DC bus regardless of variations in solar PV generation.
Similar a Mohamed Abuella_Presentation_2023.pdf (13)
The document is a presentation by Mohamed Abuella about himself and his research. It includes:
- An introduction to Abuella's background and interests in electrical engineering, power systems analysis, renewable energy integration, and artificial intelligence.
- An outline of his research experience including projects in Libya on electrical systems and a master's thesis on optimal power flow with wind power.
- Details of his PhD thesis on solar power forecasts and developing a method to adjust hour-ahead forecasts using day-ahead forecasts and ramp rates.
- His work applying machine learning techniques like random forests to improve probabilistic solar power forecasts and evaluating the improvements.
- Other research on modeling solar and wind energy potential in Libya and
Vessel Path Identification in Short-Sea ShippingMohamed Abuella
This document discusses clustering ship path data from two vessels, Cinderella II and an unnamed vessel, into meaningful segments. For Cinderella II data containing over 200,000 data points over 124 trips from July to November 2022 in the Baltic Sea, various clustering algorithms were applied including k-means, Gaussian mixture models, and hierarchical clustering using a distance matrix, achieving up to 100% accuracy. The unnamed vessel data containing over 39,000 data points over 1,754 trips was clustered into three groups. Random forest classification was also able to classify over 200,000 test points from Cinderella II into five path classes with 100% precision, recall and F1-score.
Data Analytics for Improving Energy Efficiency in Short-Sea ShippingMohamed Abuella
Descriptive, Predictive, and Prescriptive Analytics for Improving Energy Efficiency in Short-Sea Shipping. This project presents the major findings of the data analytics for improving the fuel consumption of a passenger ship in Archipelago of Gothenburg, Sweden.
Wind energy analysis for some locations in libyaMohamed Abuella
Modeling, Planning, and Analysis for Wind Energy in Libya.
17 Locations have been chosen for Modeling, Planning, and Analysis of Wind Energy for Different Locations in Libya, ...they are: Tripoli, Misurata, Tarhunah, Ghanima, Msallata, Zuwara, Gharyan, Sirte, Benghazi, Magrun, Derna, Houn, Gadamis, Sabha, Kufra, Tobruk, Jaghbub
Also, a comparison with Berlin in Germany has been conducted alongside the Libyan locations.
Planning and Analysis for Solar Energy in LibyaMohamed Abuella
This document analyzes solar energy potential across nine locations in Libya using typical meteorological year data. It finds that southern Libyan locations generally yield more solar energy but northern locations still have good potential compared to other world regions. The average net capacity factor across Libya is about 30%. Variability is higher for coastal locations than southern Sahara locations. Aggregating solar resources across multiple locations reduces variability and slightly increases capacity factors, demonstrating the benefits of geographic diversification for solar power deployment in Libya.
Adjusting post processing approach for very short-term solar power forecastsMohamed Abuella
This document presents research on adjusting post-processing approaches for very short-term solar power forecasts. It begins with motivating the need for solar power forecasts, then describes the methodology used which includes data collection from 3 PV sites, data preparation involving cleaning, imputation and detrending, and forecasting models including persistence, ARIMA, NAR, ANN and ELM. The models' forecasts are combined using random forest, and the combined forecasts are adjusted using a novel approach involving fitting to target-horizon and double target-horizon forecasts and their ramp rates. The adjusted forecasts and a simple average approach are evaluated on 9 cases across locations and horizons using RMSE. The adjusting approach achieves lower RMSE than the simple average
Short Presentation: Mohamed abuella's Research HighlightsMohamed Abuella
- A post-processing approach combines and improves solar power forecasts and adjusts the combined forecasts in terms of ramp events.
- The approach classifies all possible thresholds and classes of ramp event forecasts and uses a customized cost function for imbalanced classification of ramp events.
- Suitable metrics are used for the feature selection process and performance evaluation, along with an uncertainty analysis for probabilistic forecasts of solar power ramp events.
The presentation models and analyzes wind and solar energy resources for four US locations: Charlotte NC, Boston MA, Boulder CO, and Tucson AZ. Data on wind speed, solar irradiance, and other factors are used to calculate the energy output and net capacity factor for each location. Boston generally has the highest wind energy potential while Tucson has the greatest solar energy potential. Further work could involve modeling renewable energy backed by energy storage systems.
Hourly probabilistic solar power forecasts 3vMohamed Abuella
This document summarizes a presentation on hourly probabilistic solar power forecasting. It discusses:
1) The need for solar power forecasting to address the variability of solar generation. Various forecasting models and horizons are used.
2) The combined physical and statistical approach used to generate solar power forecasts, which includes solar plant modeling, numerical weather prediction, and statistical corrections.
3) The models evaluated include multiple linear regression, artificial neural networks, and support vector regression. Ensemble learning with random forests is used to combine the models' outputs.
4) Probabilistic forecasting methods evaluated include ensemble-based, analog ensemble, and persistence approaches. Different probability distributions are generated.
5)
Study of NEPLAN Software for Load Flow and Short Faults Analysis تصميم شبكة ت...Mohamed Abuella
Thesis for: Bachelor of Technology, College of Industrial Technology, Misurata, Libya Advisor: Mohamed Shetwan
تصميم شبكة توزيع كهربائية لمشروع وحدات سكنية باستخدام نيبلان
مشروع تخرج لنيل درجة البكالوريس التقني
كلية التقنية الصناعية
مصراتة، ليبيا
اشراف/ أ. محمد شتوان
Mohamed abuella's cloud of key skills & interestsMohamed Abuella
Mohamed Abuella's document outlines his key skills and interests. It appears to be a resume or profile highlighting areas of expertise such as cloud computing. Overall, the document provides an overview of Mohamed Abuella's qualifications and experiences.
A Post-processing Approach for Solar Power Combined Forecasts of Ramp EventsMohamed Abuella
This dissertation applies a post-processing approach to improve combined forecasts of solar power and solar power ramp events. The approach combines different forecasting models, then adjusts the combined forecasts to better predict ramp events. It develops a classification system for ramp event thresholds and evaluates performance using customized metrics. The approach provides probabilistic forecasts of solar power ramp events with uncertainty analysis.
Qualifying combined solar power forecasts in ramp events' perspectiveMohamed Abuella
Applying a qualifying metric for solar power forecasts to assess their capability to predict the ramp events, especially by the combined forecasts, then those forecasts can be implemented for: Managing high ramp-rates of PV solar power generation; Optimal energy management of energy storage systems; Voltage regulator settings on feeders with PV distributed generation.
Using statistical and machine learning techniques to forecast the PV solar power, which can be implemented for: • Managing the economic dispatch, unit commitment, and trading of PV solar power generations with other conventional generations; • Using with situational awareness tools to manage the ramp limitation; Optimal energy management of energy storage systems; • Voltage regulator settings on feeders with PV distributed generation.
Study the Effects of Renewable Resources on Electric Grid FrequencyMohamed Abuella
This document summarizes a study on the effects of renewable resources on electric grid frequency. It discusses how variable generation from renewables like wind and solar can cause frequency deviation due to mismatches between generation and demand. Frequency deviation can impact customer equipment and cause the grid to shed loads or generators. Case studies on islands like Bornholm, Sicily, and Hawaii show how high renewable penetration leads to larger frequency drops from smaller generation losses. Various mitigation techniques are discussed, including controlling inertial response in wind turbines, curtailing wind power to provide governor-like frequency response, retrofitting solar inverters, using energy storage, and modifying AGC control schemes.
Random Forest Ensemble of Support Vector Regression for Solar Power ForecastingMohamed Abuella
This document describes a methodology for generating combined solar power forecasts using an ensemble of support vector regression models. The methodology includes:
1. Developing 24 individual SVR forecasting models from two different solar power datasets.
2. Using random forest regression to combine the forecasts from the 24 SVR models.
3. Evaluating the combined forecasts against individual model forecasts and a simple average combination, finding the ensemble approach improved accuracy in most months.
Study of using particle swarm for optimal power flowMohamed Abuella
The document describes a study using particle swarm optimization to solve the optimal power flow problem in power systems including wind power generators. The study models the intermittent nature of wind power using a Weibull probability distribution and transforms wind speed to power probabilities. The optimal power flow problem is formulated as a mathematical optimization problem minimizing generation costs subject to constraints. Particle swarm optimization is applied to solve the optimal power flow problem, with the algorithm updating particles based on personal and global best positions to iteratively search for the minimum cost solution satisfying all constraints.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
3. Introduction
3
Mohamed Abuella
https://mohamedabuella.github.io
About Me..
An electrical engineer by training, traditionally is interested in Mathematical and Computational
Analysis, Modeling and Optimization, and who is recently passionate in Artificial Intelligence
and Data-driven Analytics.
A researcher works to modernize the electric grid and optimize its integration of distributed
energy resources by applying descriptive, predictive and prescriptive analytics.
His broader interest involves utilizing Artificial Intelligence to foster Sustainability.
An adaptative to work in a diverse environment for an interdisciplinary research.
https://www.linkedin.com/in/mohamed-abuella/
4. Introduction
4
https://mohamedabuella.github.io/cv
To sum it up in a broad sense, let's imagine that.. If my professional development was a book, its
title would be "Energy Systems Modeling and Analysis: Operation, Planning, and
Integration.“
Thus, the chapters of this book would be as follows:
Ch.1 Fundamentals of Electrical Engineering. This chapter covers Instrumentation & Control, Basics
of Power Electronics such as Diodes & Thyristors as rectifiers, (maneuvered by applying Laws
of Physics). With getting hands-on electrical installation & wiring and maintenance of electrical
control equipment at pumping stations.
Ch.2 Power Systems Analysis. It includes Power Flow and Faults Calculations, (applying Numerical
Analysis methods, such as Newton methods, Differential eqs & Integrals, etc). Get hands-on
some simulations of power systems and programmable logic controllers (PLC).
Ch.3 Optimal Power Flow (OPF) and Security-Constrained Economic Dispatch (SCED). It is
considering renewables as well, specifically for wind energy resources at the transmission level,
(applying Optimization techniques). Get hands-on more of modeling and analysis of power
systems.
Ch.4 Optimize the Integration of Renewables into the Grid. Solar Power Modeling and Forecasting,
(applying Descriptive, Predictive and Prescriptive Analytics, AI and ML techniques). Get hands-
on data-driven analytics and become more familiar with conducting & publishing research.
Ch.5 Postdoctoral Researcher at the Center for Applied Intelligent Systems Research (CAISR) at
Halmstad University, (Integrated Academy-Industry Collaboration, Applying AI techniques).
Dig into research on AI for Sustainability.
Ch.6 Who knows!
5. Introduction
5
In a nutshell, what I am often doing is finding the optimal & root values and curve fitting of
nonlinear equations.
..But usually it is not as simple as that!
For more details, you may have a look at pdf copies of my CV and Cloud of Key Skills &
Interests.
6. Motivation
6
• Professional Advancement
✓ Get an opportunity to collaborate and work with the experts of the field.
✓ To transfer, improve, and acquire knowledge and skills.
• Personal Advancement
✓ Better alignment with personal values and interests.
✓ Better self-esteem.
✓ Better financial security.
7. 7
What can I bring to the team..?
..to achieve more sustainability and advancing towards net-zero targets?
• Transfer knowledge and skills to integrate the collaboration between academy and industry:
✓ Energy systems modeling & analysis, optimization, AI, Geospatial analysis.
✓ Including transportation and Maritime systems.
✓ Including Water and Wastewater experience
• An adaptatively to diverse environment and flexibility to multidisciplinary research:
✓ Study and work in Middle East (Libya): Engineering, electricity, Water and wastewater.
✓ Study and work in North America (USA): Energy, Optimization, Statistics, AI.
✓ Work in Europe (Sweden): Energy, Transportation, Maritime, AI.
Introduction
8. Research
8
Technical Report of Operation & Maintenance, Internship at Shoes Factory in Misurata, Libya
https://www.researchgate.net/publication/344772515_Technical_report_of_maintenance_and_o
peration_internship_at_shoes_factory_in_Misurata_Libya
Mohamed Abuella, 2000 at Higher Center of Poly-Profession, Misurata, Libya
Electrical Operation & Maintenance for fulfilling requirement of the Higher Diploma
9. Research
9
Triggering Circuit for SCR Thyristors of an AC-DC Converter
https://www.researchgate.net/publication/277109663_Triggering_Circuit_for_SCR_Thyristors_
of_an_AC-DC_Converter
Mohamed Abuella, Ali Mohamed, Al Sayed Hamady, Advisor: Safa Samarmad
Tech Diploma Project, 2001 at Higher Center of Poly-Profession, Misurata, Libya
Higher Diploma project was in Power Electronics area. Since the task of the project of three-
members-group was to build a triggering electronic circuit for a rectification bridge of Thyristors
Acquired Expertise: Electrical Wiring & Installations, Maintenance & Operation
10. Research
10
Study of NEPLAN Software for Power Flow and Short Faults Analysis
https://www.researchgate.net/publication/277110587_Study_of_NEPLAN_Software_for_Load
_Flow_and_Short_Faults_Analysis/stats
Acquired Expertise: Teaching, Tutorials, Lab Modeling & Simulations, Curriculum Revision &
Prepartion, Dedication, Listening, "Try to Modeling the Student’s Way of Thinking.”
Software Tools including: MS Office, MATLAB, NEPLAN, PLC’s Ladder Logic
B.Tech Project, 2008 at College of Industrial Technology, Misurata, Libya
Advisor: Mohamed Shetwan
11. Research
11
SMART GRID, Seminar
https://www.slideshare.net/MohamedAbuella/smart-grid-37661484
Smart Grid Presentation in Seminar Course, 2012 at Southern Illinois University at Carbondale
Acquired Expertise: Power Systems Analysis, Operation and Planning, Systems Optimization,
Smart Grid, Research Conducting, Software Tools: MATPOWER, PowerWorld, PSAT, LaTeX
https://www.proquest.com/openview/21da3b4335a4c23278e9bd91d67a7784/1?pq-
origsite=gscholar&cbl=18750
Master of Science Thesis, 2012 at Southern Illinois University at Carbondale, USA
Advisor: Constantine Hatziadoniu
Study of particle swarm for optimal power flow in IEEE benchmark systems including wind
power generators
12. https://www.proquest.com/openview/21da3b4335a4c23278e9bd91d67a7784/1?pq-
origsite=gscholar&cbl=18750
Master of Science Thesis, 2012 at Southern Illinois University at Carbondale, USA
Advisor: Constantine Hatziadoniu
Research
12
Study of particle swarm for optimal power flow in IEEE benchmark systems including wind
power generators
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Particle Swarm Optimization (PSO) algorithm
is used for solving this optimization problem.
13. Research
13
Study of particle swarm for optimal power flow in IEEE benchmark systems including wind
power generators
14. https://www.proquest.com/openview/42049145119c7760f93ea736b37a0930/1.pdf?pq-
origsite=gscholar&cbl=18750
PhD Thesis, 2018 at University of North Carolina at Charlotte, USA
Advisor: Badrul Chowdhury
Research
14
A Post-Processing Approach for Solar Power Combined Forecasts of Ramp Events
Acquired Expertise: Energy Analytics, Energy Markets, Renewable Energy Integration, Asset & Supply
Chain, Time Series Analysis & Modeling, Risk & Uncertainty Quantification, Machine Learning, Big-Data
Processing, Research Publishing & Peer Reviewing, Software Tools including SAS, R, and Python
15. Illustration of the motivation of PV solar power forecasts
PV Solar Power
Generations
are Too Variable
Reducing
Cost
and Pollution
PSupply = PDemand +PLoss
Coordination with Operating
Reserves and Energy Storage
Systems
15
Why
Forecast?
Research
16. Ramp Events During a Cloudy Day
Δ𝑃
Δ𝑡
Some ramps are with low rates,
while others with high rates.
Ramp rate,
Δ𝑃
Δ𝑡
=
0.2−0.85
12:00−11:00
= −0.65 −65% 𝑟𝑎𝑚𝑝 𝑑𝑜𝑤𝑛 𝑜𝑓 𝑖𝑡𝑠 𝑛𝑜𝑟𝑚𝑎𝑙 𝑐𝑎𝑝𝑎𝑐𝑖𝑡𝑦, (𝑝𝑢/ℎ𝑟)
Ramp rate,
Δ𝑃
Δ𝑡
=
0.48−0.1
14:00−13:00
= +0.38 +38% 𝑟𝑎𝑚𝑝 𝑢𝑝 𝑜𝑓 𝑖𝑡𝑠 𝑛𝑜𝑟𝑚𝑎𝑙 𝑐𝑎𝑝𝑎𝑐𝑖𝑡𝑦, (𝑝𝑢/ℎ𝑟)
For the illustrated cloudy day below:
where P(t) is the solar power of
the target hour, it can also be its
forecast F(t); D is the time
duration for which the ramp rate
is determined.
𝑅𝑎𝑚𝑝 𝑅𝑎𝑡𝑒, 𝑅𝑅(𝑡) =
)
𝑑𝑃(𝑡
𝑑𝑡
=
)
𝑃(𝑡 + 𝐷) − 𝑃(𝑡
𝐷
Solar power ramp rate (RR) is the change of solar power during a certain time interval.
16
Research
Definition of
Ramp Events
Distribution of the classes of solar power ramp events
17. There are several applications of power systems that rely on solar power ramp event forecasts
• Optimizing the voltage regulation equipment.
• Control schemes of energy storage systems.
EPEX: European power exchange spot trading
Optimizing the Transformer's Tap Changer position
sequences using the solar forecast
• Trading & dispatching the operating reserve.
• Managing the ramp capability / system flexibility
with high-level of renewable energy integration.
Distribution level:
17
Transmission / bulk level:
Research
Potential
Applications
18. Block diagram of the adjusting approach
Flowchart of Solar Power Forecasts
18
Random
Forest
fit by
MSEF
&
MSERR
Day-ahead Forecasts
including the past forecasts
Outcomes: MLR, ANN, SVR
Hour-ahead Forecasts
including the past forecasts
Outcomes: Persistence and
Combined Forecasts
Ramp Rates of
Day-ahead
Forecasts
Adjusted Hour-
ahead Forecasts
Ramp Rates of
Hour-ahead
Forecasts
Combining by
Random Forest
Statistical &
AI Models
Weather Data
(NWP)
PV System
Data
Persistence
Model
Forecasting Stage Combining Stage Adjusting Stage
Pre-Processing
Outlier detection and
data cleansing
Feature engineering
Weather Data
Solar irradiance
Temperature
Cloud coverage
Humidity
...etc.
PV System Data
Measured PV power output
Location and modules type,
orientation, tilt,..etc. Forecasting Models
Persistence model
Statistical models
Artificial intelligence models
Point forecast
Probabilistic forecast
Combining models’ outcomes
by ensemble learning
Post-Processing
Ensemble
Analog ensemble
Research
19. 19
Combined forecasts of solar power for cloudy days before and after applying the adjusting
Research
20. Graphs of the probabilistic forecasts of the three methods for three days
20
Research
22. Research
Planning and Analysis for Solar Energy in Libya
22
9 Locations for Comparison of Solar Energy Modeling and Analysis:Tripoli, Misurata, Sirte, Benghazi, Derna, Houn, Gadamis, Sebha, Kufra
Typical Meteorological Year (TMY) data represents the weather for a "median year”. https://developer.nrel.gov/
The Capacity Factor is calculated
based on Output power (PWac).
The Rating of Solar PV System =1000W
during an entire year = 8760 hours.
23. Research
Planning and Analysis for Wind Energy in Libya
23
The Capacity Factor is calculated based
on Output power (PWac).
The Rating of Solar PV System =1000W
during an entire year = 8760 hours.
Berlin in Germany has been added just
for sake of comparison.
Tripoli, Misurata, Tarhunah, Ghanima, Msallata, Zuwara, Gharyan, Sirte, Benghazi,Magrun, Derna, Houn, Gadamis, Sabha, Kufra, Tobruk, Jaghbub
Typical Meteorological Year (TMY) data represents the weather for a "median year”. Data are retrieved from NREL’s Developer Network:
https://developer.nrel.gov/ Comparison of Monthly Average Wind Speed (m/s) at Height of 10m
25. Descriptive Modeling
Input: Data of vessel’s operational
and environmental data, from
onboard and external sources.
Outcome: Dataset for training and
validation the predictive and
prescriptive models.
Predictive Modeling
Input: Preprocessed data include
operating and weather variables,
such as vessel’s speed and course,
wind, wave, current, etc.
Outcome: Validated predictive
models for fuel, distance and time.
Second step (One ANN)
Prescriptive Modeling
Input: Using solving algorithms,
with control variables, such as
vessel’s speed and course, to
find the optimal fuel and time.
Outcome: Improving fuel
consumption and meeting the
operational conditions
Research
Data Analytics for Improving the Vessel’s Energy Efficiency
25
26. Research
Variables
Exchange
Between XAI and
ANN
Data Preprocessing
and Validation
Interpolation
In Time (1min.) and Space
with vessel’s position
Resampling
Averaging in Time
(1min.)
Data Validation
.
Vessel’s
onboard data
External
weather data
ANN Regression Model
Data
Collection
Spatio-Temporal
Aggregation
Aggregate the vessel’s
routes in terms of
Total Fuel and Total Time
Efficiency Score
Calculation
Normalize the Fuel and Time for
each route with respect to the
maximum Fuel and Time of all
routes.
Then, the Efficiency Score is
calculated for each route.
Model: XGB
Inputs: Operational and weather variables
Representation of Vessel’s Routes by Fuel & Time
Onboard
Operational
and Weather
Data
External
Weather
Data
ANN Input
Selection
Operational and
weather variables to
prepare 4 cases of
ANN inputs
EngineFuelRate and Timestamps
Inputs Case I
Inputs Case II
Inputs Case III
Inputs Case IV
Output Case (1)
EngineFuelRate
Output Case (2)
Total Fuel
Output Case (3)
Efficiency Score
XAI Technique: Shapley Values
Output: (1) EngineFuelRate, (2) Total Fuel, or (3) Efficiency Score
Inputs: Different combinations of inputs (inputs cases I - IV)
ANN parameters are tuned for each of outputs and inputs cases
Output Case (2)
Total Fuel
Output Case (3)
Efficiency Score
Output Case (1)
EngineFuelRate
Workflow of Applying XAI for Improving the Vessel’s Energy Efficiency
26
27. Predictive Analytics
Shapely values for Regression of Eff-Score (Global, where Fuel and Time are normalized based on values of all routes)
The spatio-temporal aggregation and using the efficiency score (Global) leads to the Causality
27
Research
28. Effeciency Score
It is calculated once for the entire route.
Predictive Analytics
EngineFuelRate
(L/H)
EngineFuelRate
(L/H)
𝐸𝑓𝑓𝐶𝑜𝑠𝑡 =
2∗(𝐹𝑢𝑒𝑙 𝑇𝑜𝑡𝑎𝑙𝑛𝑜𝑟𝑚 ∗ 𝑇𝑖𝑚𝑒 𝑇𝑜𝑡𝑎𝑙𝑛𝑜𝑟𝑚)
(𝐹𝑢𝑒𝑙 𝑇𝑜𝑡𝑎𝑙𝑛𝑜𝑟𝑚 + 𝑇𝑖𝑚𝑒 𝑇𝑜𝑡𝑎𝑙𝑛𝑜𝑟𝑚)
𝐸𝑓𝑓𝑠𝑐𝑜𝑟𝑒 = 1 − 𝐸𝑓𝑓𝐶𝑜𝑠𝑡
1754 sequences (Routes)
28
Research
29. Problem Formulation
Objective Function:
Minimizing the fuel consumption
Solutions Finding
Control variables:
Ship’s speed and course
Constraints:
Arrival time, geographic, safety, route
smoothness, the ship’s roll, and the engine power
Objective:
Minimum fuel consumption
Solving algorithm:
Modeling and managing the engine power at any
weather conditions by using a fuel estimation model
Research
29
31. Path Planning
Main classes of path
Research
Spatial Clustering Approach for Vessel Path Identification
Framework of vessel path identification.
(a) Flowchart of distance-based method.
(b) Flowchart of segmented Gaussian likelihood method.
(a) (b)
The vessel route
33. Research
33
Keep up some blogs on : https://mohamedabuella.github.io/blog/
Blogs
23 Dec 2023 » Blog Systematic Analysis of Mendeley Documents with ChatGPT as a Coding Utility
06 Dec 2023 » Blog iHelm Project: Data Analytics for Improving Energy Efficiency in Short Sea Shipping
06 Dec 2023 » Blog Data Analytics for Vessel Path Planning in Short-Sea Shipping
06 Dec 2023 » Blog Data Analytics for Improving Energy Efficiency in Short-Sea Shipping
15 Dec 2021 » Blog Using pandapower for Modeling and Analysis of Energy Systems
01 Sep 2021 » Blog Planning and Analysis for Wind Energy in Libya
19 Jul 2021 » Blog Planning and Analysis for Solar Energy in Libya
11 Dec 2019 » Blog Reading and Reflection on a Book of Solar Energy
19 Aug 2019 » Blog Does the Educational Curricula Keep the Pace with the Advancements in Energy ..?
09 Aug 2019 » Blog Wind and Solar Energy Resources Modeling and Analysis
30 Jul 2019 » Blog Net Load Forecasting for Microgrid Resiliency
29 Jul 2019 » Blog How a Subtle Lack of Knowledge Could Lead to Catastrophic Consequences
23 Jun 2019 » Blog Reading a Big-picture Book after a While of Focusing on Elaborate Technical Stuff
17 Jun 2019 » website Website Launched
34. Research
34
• Power System Flexibility and DG resources management, I have been working on Forecasting
and Machine Learning approaches, since 2014
• Techno-economic analysis of HOMER, NREL SAM, and PVLib Toolbox for Python.
• Writing using Latex (Eqs, Biblio.), Mendeley (~10000 docs, tags), Evernote (organize notes,
share them), Dropbox, Google Drive (clouds to back up), iCalendar, etc.
• Research Outreach and Knowledge Dissemination: depending extensively on the online tools,
such as Blogs on personal website, LinkedIn, Twitter, Researchgate, Newsletter from relevant
groups of interest (ESIG, AI in Smart Grids, ISES, WEMC, etc.)
• Review of IEEE Transactions on Sustainable Energy
35. Thanks for Your Listening
Any Question?
Mohamed Ali Abuella
mabuella@cit.edu.ly
mhdabuella@gmail.com