Enviar búsqueda
Cargar
Multi objective economic load dispatch using hybrid fuzzy, bacterial
•
3 recomendaciones
•
640 vistas
IAEME Publication
Seguir
Tecnología
Empresariales
Denunciar
Compartir
Denunciar
Compartir
1 de 10
Recomendados
40220140503006
40220140503006
IAEME Publication
40220130405012 2
40220130405012 2
IAEME Publication
GWO-based estimation of input-output parameters of thermal power plants
GWO-based estimation of input-output parameters of thermal power plants
TELKOMNIKA JOURNAL
Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...
Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...
IJERA Editor
Compromising between-eld-&-eed-using-gatool-matlab
Compromising between-eld-&-eed-using-gatool-matlab
Subhankar Sau
E010232732
E010232732
IOSR Journals
1 s2.0-s1364032117311607-main
1 s2.0-s1364032117311607-main
Suganthi Thangaraj
Economic Dispatch using Quantum Evolutionary Algorithm in Electrical Power S...
Economic Dispatch using Quantum Evolutionary Algorithm in Electrical Power S...
IJECEIAES
Recomendados
40220140503006
40220140503006
IAEME Publication
40220130405012 2
40220130405012 2
IAEME Publication
GWO-based estimation of input-output parameters of thermal power plants
GWO-based estimation of input-output parameters of thermal power plants
TELKOMNIKA JOURNAL
Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...
Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...
IJERA Editor
Compromising between-eld-&-eed-using-gatool-matlab
Compromising between-eld-&-eed-using-gatool-matlab
Subhankar Sau
E010232732
E010232732
IOSR Journals
1 s2.0-s1364032117311607-main
1 s2.0-s1364032117311607-main
Suganthi Thangaraj
Economic Dispatch using Quantum Evolutionary Algorithm in Electrical Power S...
Economic Dispatch using Quantum Evolutionary Algorithm in Electrical Power S...
IJECEIAES
40220140504003
40220140504003
IAEME Publication
Application of a new constraint handling method for economic dispatch conside...
Application of a new constraint handling method for economic dispatch conside...
journalBEEI
Electronics system thermal management optimization using finite element and N...
Electronics system thermal management optimization using finite element and N...
TELKOMNIKA JOURNAL
Renewable Energy
Renewable Energy
Maziar Izadbakhsh
Optimal power flow based congestion management using enhanced genetic algorithms
Optimal power flow based congestion management using enhanced genetic algorithms
IJECEIAES
A BBO-based algorithm for the non-convex economic/environmental dispatch
A BBO-based algorithm for the non-convex economic/environmental dispatch
International Journal of Innovation Engineering and Science Research
HYBRID PARTICLE SWARM OPTIMIZATION FOR SOLVING MULTI-AREA ECONOMIC DISPATCH P...
HYBRID PARTICLE SWARM OPTIMIZATION FOR SOLVING MULTI-AREA ECONOMIC DISPATCH P...
ijsc
Security constrained optimal load dispatch using hpso technique for thermal s...
Security constrained optimal load dispatch using hpso technique for thermal s...
eSAT Publishing House
Optimization of Economic Load Dispatch with Unit Commitment on Multi Machine
Optimization of Economic Load Dispatch with Unit Commitment on Multi Machine
IJAPEJOURNAL
Locational marginal pricing framework in secured dispatch scheduling under co...
Locational marginal pricing framework in secured dispatch scheduling under co...
eSAT Publishing House
Multi Area Economic Dispatch Using Secant Method and Tie Line Matrix
Multi Area Economic Dispatch Using Secant Method and Tie Line Matrix
IJAPEJOURNAL
Economic/Emission Load Dispatch Using Artificial Bee Colony Algorithm
Economic/Emission Load Dispatch Using Artificial Bee Colony Algorithm
IDES Editor
Modeling of off grid hybrid power system under jordanian climate
Modeling of off grid hybrid power system under jordanian climate
Alexander Decker
life cycle cost analysis of a solar energy based hybrid power system
life cycle cost analysis of a solar energy based hybrid power system
INFOGAIN PUBLICATION
ASSESSMENT OF INTRICATE DG PLANNING WITH PRACTICAL LOAD MODELS BY USING PSO
ASSESSMENT OF INTRICATE DG PLANNING WITH PRACTICAL LOAD MODELS BY USING PSO
ecij
Artificial bee colony algorithm based approach for capacitor allocation in un
Artificial bee colony algorithm based approach for capacitor allocation in un
IAEME Publication
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
ijceronline
Economic Load Dispatch Problem with Valve – Point Effect Using a Binary Bat A...
Economic Load Dispatch Problem with Valve – Point Effect Using a Binary Bat A...
IDES Editor
Estimation efficiency of rewound induction motors in situ using a numerical m...
Estimation efficiency of rewound induction motors in situ using a numerical m...
journalBEEI
Optimal Operation of Wind-thermal generation using differential evolution
Optimal Operation of Wind-thermal generation using differential evolution
IOSR Journals
Artificial bee colony algorithm applied to optimal power flow solution incorp...
Artificial bee colony algorithm applied to optimal power flow solution incorp...
International Journal of Power Electronics and Drive Systems
Optimal Unit Commitment Based on Economic Dispatch Using Improved Particle Sw...
Optimal Unit Commitment Based on Economic Dispatch Using Improved Particle Sw...
paperpublications3
Más contenido relacionado
La actualidad más candente
40220140504003
40220140504003
IAEME Publication
Application of a new constraint handling method for economic dispatch conside...
Application of a new constraint handling method for economic dispatch conside...
journalBEEI
Electronics system thermal management optimization using finite element and N...
Electronics system thermal management optimization using finite element and N...
TELKOMNIKA JOURNAL
Renewable Energy
Renewable Energy
Maziar Izadbakhsh
Optimal power flow based congestion management using enhanced genetic algorithms
Optimal power flow based congestion management using enhanced genetic algorithms
IJECEIAES
A BBO-based algorithm for the non-convex economic/environmental dispatch
A BBO-based algorithm for the non-convex economic/environmental dispatch
International Journal of Innovation Engineering and Science Research
HYBRID PARTICLE SWARM OPTIMIZATION FOR SOLVING MULTI-AREA ECONOMIC DISPATCH P...
HYBRID PARTICLE SWARM OPTIMIZATION FOR SOLVING MULTI-AREA ECONOMIC DISPATCH P...
ijsc
Security constrained optimal load dispatch using hpso technique for thermal s...
Security constrained optimal load dispatch using hpso technique for thermal s...
eSAT Publishing House
Optimization of Economic Load Dispatch with Unit Commitment on Multi Machine
Optimization of Economic Load Dispatch with Unit Commitment on Multi Machine
IJAPEJOURNAL
Locational marginal pricing framework in secured dispatch scheduling under co...
Locational marginal pricing framework in secured dispatch scheduling under co...
eSAT Publishing House
Multi Area Economic Dispatch Using Secant Method and Tie Line Matrix
Multi Area Economic Dispatch Using Secant Method and Tie Line Matrix
IJAPEJOURNAL
Economic/Emission Load Dispatch Using Artificial Bee Colony Algorithm
Economic/Emission Load Dispatch Using Artificial Bee Colony Algorithm
IDES Editor
Modeling of off grid hybrid power system under jordanian climate
Modeling of off grid hybrid power system under jordanian climate
Alexander Decker
life cycle cost analysis of a solar energy based hybrid power system
life cycle cost analysis of a solar energy based hybrid power system
INFOGAIN PUBLICATION
ASSESSMENT OF INTRICATE DG PLANNING WITH PRACTICAL LOAD MODELS BY USING PSO
ASSESSMENT OF INTRICATE DG PLANNING WITH PRACTICAL LOAD MODELS BY USING PSO
ecij
Artificial bee colony algorithm based approach for capacitor allocation in un
Artificial bee colony algorithm based approach for capacitor allocation in un
IAEME Publication
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
ijceronline
Economic Load Dispatch Problem with Valve – Point Effect Using a Binary Bat A...
Economic Load Dispatch Problem with Valve – Point Effect Using a Binary Bat A...
IDES Editor
Estimation efficiency of rewound induction motors in situ using a numerical m...
Estimation efficiency of rewound induction motors in situ using a numerical m...
journalBEEI
La actualidad más candente
(19)
40220140504003
40220140504003
Application of a new constraint handling method for economic dispatch conside...
Application of a new constraint handling method for economic dispatch conside...
Electronics system thermal management optimization using finite element and N...
Electronics system thermal management optimization using finite element and N...
Renewable Energy
Renewable Energy
Optimal power flow based congestion management using enhanced genetic algorithms
Optimal power flow based congestion management using enhanced genetic algorithms
A BBO-based algorithm for the non-convex economic/environmental dispatch
A BBO-based algorithm for the non-convex economic/environmental dispatch
HYBRID PARTICLE SWARM OPTIMIZATION FOR SOLVING MULTI-AREA ECONOMIC DISPATCH P...
HYBRID PARTICLE SWARM OPTIMIZATION FOR SOLVING MULTI-AREA ECONOMIC DISPATCH P...
Security constrained optimal load dispatch using hpso technique for thermal s...
Security constrained optimal load dispatch using hpso technique for thermal s...
Optimization of Economic Load Dispatch with Unit Commitment on Multi Machine
Optimization of Economic Load Dispatch with Unit Commitment on Multi Machine
Locational marginal pricing framework in secured dispatch scheduling under co...
Locational marginal pricing framework in secured dispatch scheduling under co...
Multi Area Economic Dispatch Using Secant Method and Tie Line Matrix
Multi Area Economic Dispatch Using Secant Method and Tie Line Matrix
Economic/Emission Load Dispatch Using Artificial Bee Colony Algorithm
Economic/Emission Load Dispatch Using Artificial Bee Colony Algorithm
Modeling of off grid hybrid power system under jordanian climate
Modeling of off grid hybrid power system under jordanian climate
life cycle cost analysis of a solar energy based hybrid power system
life cycle cost analysis of a solar energy based hybrid power system
ASSESSMENT OF INTRICATE DG PLANNING WITH PRACTICAL LOAD MODELS BY USING PSO
ASSESSMENT OF INTRICATE DG PLANNING WITH PRACTICAL LOAD MODELS BY USING PSO
Artificial bee colony algorithm based approach for capacitor allocation in un
Artificial bee colony algorithm based approach for capacitor allocation in un
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
Economic Load Dispatch Problem with Valve – Point Effect Using a Binary Bat A...
Economic Load Dispatch Problem with Valve – Point Effect Using a Binary Bat A...
Estimation efficiency of rewound induction motors in situ using a numerical m...
Estimation efficiency of rewound induction motors in situ using a numerical m...
Similar a Multi objective economic load dispatch using hybrid fuzzy, bacterial
Optimal Operation of Wind-thermal generation using differential evolution
Optimal Operation of Wind-thermal generation using differential evolution
IOSR Journals
Artificial bee colony algorithm applied to optimal power flow solution incorp...
Artificial bee colony algorithm applied to optimal power flow solution incorp...
International Journal of Power Electronics and Drive Systems
Optimal Unit Commitment Based on Economic Dispatch Using Improved Particle Sw...
Optimal Unit Commitment Based on Economic Dispatch Using Improved Particle Sw...
paperpublications3
A039101011
A039101011
inventionjournals
Hybrid Particle Swarm Optimization for Solving Multi-Area Economic Dispatch P...
Hybrid Particle Swarm Optimization for Solving Multi-Area Economic Dispatch P...
ijsc
HTS.pptx
HTS.pptx
SujoyDas74
Inclusion of environmental constraints into siting and sizing
Inclusion of environmental constraints into siting and sizing
IAEME Publication
Optimal unit commitment of a power plant using particle swarm optimization ap...
Optimal unit commitment of a power plant using particle swarm optimization ap...
IJECEIAES
Implementation effects of economics and market operations based model for tra...
Implementation effects of economics and market operations based model for tra...
nooriasukmaningtyas
Multi-objective based economic environmental dispatch with stochastic solar-w...
Multi-objective based economic environmental dispatch with stochastic solar-w...
IJECEIAES
A Decomposition Aggregation Method for Solving Electrical Power Dispatch Prob...
A Decomposition Aggregation Method for Solving Electrical Power Dispatch Prob...
raj20072
Solving combined economic emission dispatch problem in wind integrated power ...
Solving combined economic emission dispatch problem in wind integrated power ...
nooriasukmaningtyas
IRJET- Optimal Placement and Size of DG and DER for Minimizing Power Loss and...
IRJET- Optimal Placement and Size of DG and DER for Minimizing Power Loss and...
IRJET Journal
Economic dispatch by optimization techniques
Economic dispatch by optimization techniques
IJECEIAES
IRJET- Solving Economic Load Dispatch Problem with Valve Point Effect
IRJET- Solving Economic Load Dispatch Problem with Valve Point Effect
IRJET Journal
Optimal Economic Load Dispatch of the Nigerian Thermal Power Stations Using P...
Optimal Economic Load Dispatch of the Nigerian Thermal Power Stations Using P...
theijes
Combining both Plug-in Vehicles and Renewable Energy Resources for Unit Commi...
Combining both Plug-in Vehicles and Renewable Energy Resources for Unit Commi...
IOSR Journals
Comparative study of the price penalty factors approaches for Bi-objective di...
Comparative study of the price penalty factors approaches for Bi-objective di...
IJECEIAES
basu2011.pdf
basu2011.pdf
SujoyDas74
Evolutionary algorithm solution for economic dispatch problems
Evolutionary algorithm solution for economic dispatch problems
IJECEIAES
Similar a Multi objective economic load dispatch using hybrid fuzzy, bacterial
(20)
Optimal Operation of Wind-thermal generation using differential evolution
Optimal Operation of Wind-thermal generation using differential evolution
Artificial bee colony algorithm applied to optimal power flow solution incorp...
Artificial bee colony algorithm applied to optimal power flow solution incorp...
Optimal Unit Commitment Based on Economic Dispatch Using Improved Particle Sw...
Optimal Unit Commitment Based on Economic Dispatch Using Improved Particle Sw...
A039101011
A039101011
Hybrid Particle Swarm Optimization for Solving Multi-Area Economic Dispatch P...
Hybrid Particle Swarm Optimization for Solving Multi-Area Economic Dispatch P...
HTS.pptx
HTS.pptx
Inclusion of environmental constraints into siting and sizing
Inclusion of environmental constraints into siting and sizing
Optimal unit commitment of a power plant using particle swarm optimization ap...
Optimal unit commitment of a power plant using particle swarm optimization ap...
Implementation effects of economics and market operations based model for tra...
Implementation effects of economics and market operations based model for tra...
Multi-objective based economic environmental dispatch with stochastic solar-w...
Multi-objective based economic environmental dispatch with stochastic solar-w...
A Decomposition Aggregation Method for Solving Electrical Power Dispatch Prob...
A Decomposition Aggregation Method for Solving Electrical Power Dispatch Prob...
Solving combined economic emission dispatch problem in wind integrated power ...
Solving combined economic emission dispatch problem in wind integrated power ...
IRJET- Optimal Placement and Size of DG and DER for Minimizing Power Loss and...
IRJET- Optimal Placement and Size of DG and DER for Minimizing Power Loss and...
Economic dispatch by optimization techniques
Economic dispatch by optimization techniques
IRJET- Solving Economic Load Dispatch Problem with Valve Point Effect
IRJET- Solving Economic Load Dispatch Problem with Valve Point Effect
Optimal Economic Load Dispatch of the Nigerian Thermal Power Stations Using P...
Optimal Economic Load Dispatch of the Nigerian Thermal Power Stations Using P...
Combining both Plug-in Vehicles and Renewable Energy Resources for Unit Commi...
Combining both Plug-in Vehicles and Renewable Energy Resources for Unit Commi...
Comparative study of the price penalty factors approaches for Bi-objective di...
Comparative study of the price penalty factors approaches for Bi-objective di...
basu2011.pdf
basu2011.pdf
Evolutionary algorithm solution for economic dispatch problems
Evolutionary algorithm solution for economic dispatch problems
Más de IAEME Publication
IAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME Publication
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
IAEME Publication
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
IAEME Publication
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
IAEME Publication
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
IAEME Publication
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
IAEME Publication
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
IAEME Publication
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IAEME Publication
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
IAEME Publication
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
IAEME Publication
GANDHI ON NON-VIOLENT POLICE
GANDHI ON NON-VIOLENT POLICE
IAEME Publication
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
IAEME Publication
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
IAEME Publication
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
IAEME Publication
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
IAEME Publication
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
IAEME Publication
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
IAEME Publication
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
IAEME Publication
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
IAEME Publication
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
IAEME Publication
Más de IAEME Publication
(20)
IAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME_Publication_Call_for_Paper_September_2022.pdf
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
GANDHI ON NON-VIOLENT POLICE
GANDHI ON NON-VIOLENT POLICE
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
Último
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
null - The Open Security Community
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
Commit University
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
Florian Wilhelm
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
Lars Bell
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
hariprasad279825
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
Mark Billinghurst
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Zilliz
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
Pixlogix Infotech
How to write a Business Continuity Plan
How to write a Business Continuity Plan
Databarracks
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
Fwdays
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Precisely
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
Kalema Edgar
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
RankYa
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
Alex Barbosa Coqueiro
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
Mattias Andersson
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
Dubai Multi Commodity Centre
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
UiPathCommunity
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
charlottematthew16
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
Sergiu Bodiu
Último
(20)
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
How to write a Business Continuity Plan
How to write a Business Continuity Plan
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
Multi objective economic load dispatch using hybrid fuzzy, bacterial
1.
International Journal of
Electrical Engineering and Technology (IJEET), ISSN 0976 – 6545(Print), ISSN 0976 – 6553(Online) Volume 4, Issue 3, May - June (2013), © IAEME 43 MULTI OBJECTIVE ECONOMIC LOAD DISPATCH USING HYBRID FUZZY, BACTERIAL FORAGING-NELDER–MEAD ALGORITHM Bharathkumar S1 , Arul Vineeth A D2 , Ashokkumar K3 , Vijay Anand K4 1,4 II Year ME Power System, EEE Department, Anna University Regional centre , Coimbatore 2 II Year ME Information Technology, IT Department, Anna University Regional centre, Coimbatore,Tamilnadu,India 3 II Year ME Control and Instrumentation, EEE Department, Anna University Regional centre, Coimbatore ABSTRACT In this paper, a new approach is proposed to solve the economic load dispatch (ELD) problem. Power generation, spinning reserve and emission costs are simultaneously considered in the objective function of the proposed ELD problem. In this condition, if the valve-point effects of thermal units are considered in the proposed emission, reserve and economic load dispatch (ERELD) problem, a non-smooth and non-convex cost function will be obtained. Frequency deviation, minimum frequency limits and other practical constraints are also considered in this problem. For this purpose, ramp rate limit, transmission line losses, maximum emission limit for specific power plants or total power system, prohibited operating zones and frequency constraints are considered in the optimization problem. A hybrid method that combines the bacterial foraging (BF) algorithm with the Nelder–Mead (NM) method (called BF–NM algorithm) is used to solve the problem. In this paper, the performance of the proposed BF–NM algorithm is compared with the performance of other classic (non-linear programming) and intelligent algorithms such as particle swarm optimization (PSO) as well as genetic algorithm (GA), differential evolution (DE) and BF algorithms. The simulation results show the advantages of the proposed method for reducing the total cost of the system. Index Terms- Economic Dispatch, Differential Evolution, Evolutionary Algorithms, Valve Point Loading Effects, Prohibited Operating Zones, Piecewise Quadratic Cost Functions. INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY (IJEET) ISSN 0976 – 6545(Print) ISSN 0976 – 6553(Online) Volume 4, Issue 3, May - June (2013), pp. 43-52 © IAEME: www.iaeme.com/ijeet.asp Journal Impact Factor (2013): 5.5028 (Calculated by GISI) www.jifactor.com IJEET © I A E M E
2.
International Journal of
Electrical Engineering and Technology (IJEET), ISSN 0976 – 6545(Print), ISSN 0976 – 6553(Online) Volume 4, Issue 3, May - June (2013), © IAEME 44 I. INTRODUCTION The economic load dispatch of power plants is one of the most important problems in power system operations. In this regard, the ELD minimizes the generation cost of power plants so that the generated power satisfies the load demand by considering practical system constraints [1–3]. This is an extremely important problem in restructured power systems. Due to increasing sensitivity regarding power plant emissions, the ELD must be performed such that the environmental emissions of power plants are minimized [4]. Furthermore, during a specific period of time, the emission constraint is considered in [5–7] to solve the ELD problem. The prohibited power generation zone is another constraint that can be considered in the ELD problem [8–10]. In addition, economic dispatch can be solved by considering frequency constraints [1]. To develop a complete model of the ELD problem, the effect of the spinning reserve constraint [11–13] as well as the valve-point effect [14–21] and transmission line losses [22,24] can also be taken into account. In most studies, the generation cost function is considered to be quadratic function, but a cubic cost function more closely conforms to the generation cost [14]. Therefore, the use of a cubic cost function leads to more accurate modelling of power plant costs. The ELD problem is an optimization problem; thus, a large number of methods are available to solve this problem. Recently, stochastic search algorithms such as PSO, GA, direct search, and DE algorithms [17] have been successfully used to solve the ELD problem. Each of these algorithms has its own advantages and disadvantages. For example, the direct search method and GA have slow execution speeds, and the PSO algorithm requires the execution of many repeated stages. The above-mentioned search methods determine the local optimal point but cannot find that optimal solution. The BF algorithm is a new optimization algorithm that has recently been considered to solve the real world optimization problem. It covers a wide search region but has low convergence speed. In this respect, a hybrid method combines BF algorithm and NM method (BF–NM algorithm) with the combination of the fuzzy logic is used. By combining these three methods, the search power of intelligent methods and the precision of conventional methods are simultaneously employed [27]. Addition, the transmission losses, maximum emission limit, and practical constraints of the power plants are considered in the problem. The frequency deviation, minimum frequency limit and maximum permissible environmental emission constraints are also used in the problem to assure the power system security. The simulation results validate the performance and accuracy of the proposed method for solving the ERELD problem by placing practical constraints in power system. II. ECONOMIC LOAD DISPATCH A. Problem formulation The proposed ERELD problem consists of an objective function and practical constraints. The objective function and constraints are introduced in following subsections. Objective Functions: The objective of the classical economic dispatch is to minimize the total system cost (1) by adjusting the power output of each of the generators connected to the grid. The total system cost is modelled as the sum of the cost function of each generator.
3.
International Journal of
Electrical Engineering and Technology (IJEET), ISSN 0976 – 6545(Print), ISSN 0976 – 6553(Online) Volume 4, Issue 3, May - June (2013), © IAEME 45 (1))(.... 1 321 i N i inCost PFFFFFF ∑= =+++= where Pi and Fi are the output power and the generation cost of ith generating units and N is the number of power plants. The cost function of each generator establishes the relationship between the power injected to the system by the generator and the cost incurred to load the machine to that capacity. Generators are typically modelled by smooth quadratic functions such as (2), in order to simplify the corresponding optimization problem, as well as to facilitate the application of proposed technique. The cost function is generally considered to be a square cost function [29,30]. However, a cubic cost function is more appropriate and accurate. So, the proposed total generation cost can be expressed as follows: (2))PPP(min 3 i 2 i 1 iCost i N i iii dcbaF +++= ∑= Valve-Point Effect: If the power output of a generator with multi-valve steam turbines is increased to meet the increased demand, various steam valves should to be opened in sequence. As shown in Fig. 1, the valve-point effect can be considered by adding the absolute value. Fig. 1. A cost function of a unit with valve-point effect and prohibited operating zones. of a sinusoidal function with a cubic cost function [14–18]. Thus, the cost function is modified as follows: (3)))]P-(Psin(f.(e )PPP[(min iminiii 3 i 2 i 1 iCost ++++= ∑= i N i iii dcbaF Power Plant Spinning Reserve Cost Function: Plants should have enough spinning reserve to provide energy without interruption for customers. This reserve provides cost for the system [12]. Thus, (4))( .... 1 321 i N i i nCost RFR FRFRFRFRF ∑= = +++=
4.
International Journal of
Electrical Engineering and Technology (IJEET), ISSN 0976 – 6545(Print), ISSN 0976 – 6553(Online) Volume 4, Issue 3, May - June (2013), © IAEME 46 where FRcost is the total reserve cost of the whole system and Ri is the reserve for the ith unit. The determination of spinning reserve values to minimize the FRcost function is one of the main objectives in power system operations. Therefore, (5))RR(min 2 i 1 iCost ∑= ++= N i ribiri cbaFR where ari, bri and cri are the coefficients of the reserve cost of the ith generator. Multiple Fuel types: Some generating units are capable of operating using different types of fuels. The use of multiple fuel types may result in multiple cost curves that are not necessarily parallel or continuous. The lower region of the resulting cost curve determines which fuel type is most economical to burn. Fig. 2 Fuel cost function of a thermal generation unit supplied with multiple fuel types This cost function can be represented by a piecewise curve (see Fig. 2), and the segments are defined by the range in which each fuel is used (6). The ED problem with piecewise quadratic cost curves is very difficult to solve by standard techniques. Piecewise quadratic cost functions have as many segments as fuel types. F୧൫Fୋ ൯ ൌ ە ۖ ۔ ۖ ۓa୧,ଵ b୧,ଵPୋ c୧,ଵPୋ ଶ , Pୋ ଵ ൏ Pୋ ൏ Pୋഠ ଵതതതത a୧,ଶ b୧,ଶPୋ c୧,ଶPୋ ଶ , Pୋ ଶ ൏ Pୋ ൏ Pୋഠ ଶതതതത ڭ a୧,୩ b୧,୩Pୋ c୧,୩Pୋ ଶ ڭ Pୋ ୩ ൏ Pୋ ൏ Pୋഠ ୩തതതത ሺ6ሻ where Pୋ ୩ and Pୋഠ ଵതതതത are the lower and upper bound respectively of the kth fuel of unit i, and ai,k bi,k ci,k are the kth fuel cost coefficients of unit i. Prohibited Operating Zones: Generating units may have certain regions where operation is either undesired or impossible due to physical limitations of
5.
International Journal of
Electrical Engineering and Technology (IJEET), ISSN 0976 – 6545(Print), ISSN 0976 – 6553(Online) Volume 4, Issue 3, May - June (2013), © IAEME 47 the machine components or issues related to instability. These regions produce discontinuities in the cost curve since the unit must operate under or over certain specified limits. This type of cost functions results in non-convex sets of feasible solution points, which are modelled as follows: ൞ ܲ, ܲ ܲ,ଵ ܲ,ିଵ ௨ ܲ ܲ, ܲ,௭ ௨ ܲ ܲ,௫ (7) where Pl i,k and Pu i,k are the lower and upper limits of the kth of the prohibited zone of ith generating unit and z is the number of the prohibited zones of the ith unit, respectively. The Proposed Objective Function: Fuel, spinning reserve and emission costs are in conflict with each other. In other words, as the minimum generation and reserve costs and minimum emission do not occur at a single point, it is necessary to optimize them, simultaneously. Multi-objective optimization methods can be used to solve this optimization problem. To generate the non-inferior solutions of a multi-objective optimization problem, the weighting method can be used [7,31]. This approach aggregates all objective functions in a weighted combination, producing a single one [31]. Therefore, the ERELD problem can be converted into a scalar optimization problem as follows: min ߶ ൌ ቂݓଵ ቀܨ௦௧, ܴܨ௦௧, ቚ݁. sin ቀ݂൫ܲ, െ ܲ൯ቁቚቁ ே ୀଵ ݓଶ൫ܳ,. ܨா௦௦,൯ቃ ሺ8ሻ where w1 and w2 are non-negative weights, such that w1 + w2 = 1. w1 and w2 are used to make a trade-off between emission and total cost (energy and reserve costs). So these weighting factors vary between w1 = 1.0, w2 = 0.0 and w1 = 0.0, w2 = 1.0. It means that, if w1 = 1.0, w2 = 0.0, the economic and reserve dispatch will be performed instead of ERELD. Also, if w1 = 0.0, w2 = 1.0, the emission dispatch will be performed instead of ERELD. If w1 = w2, emission and total cost (energy and reserve cost) have similar importance. Many studies use this weight setting to convert a multi-objective problem into a single-objective. III. THE HYBRID BF–NM ALGORITHM WITH FUZZY LOGIC In order to solve the proposed OPF problem, the hybrid bacterial foraging (BF) algorithm and the Nelder–Mead (NM) method are employed to minimize the cost function of the problem. The BF algorithm is a stochastic optimization algorithm. It covers a wide search region, but it has low convergence speed. In this respect, the BF algorithm and the NM method can be combined [27]. By combining these two methods, the search power of the intelligent methods and the precision of conventional methods are simultaneously exploited. Therefore, in this section, the BF algorithm and the NM method are first introduced. The BF– NM combinational algorithm is then presented to solve the proposed ERELD problem.
6.
International Journal of
Electrical Engineering and Technology (IJEET), ISSN 0976 – 6545(Print), ISSN 0976 – 6553(Online) Volume 4, Issue 3, May - June (2013), © IAEME 48 Algorithm Step 1. Form the objective function for the ERELD problem. Step 2. Set the initial count of the bacteria. Step 3. Determine the P0 for tth hour. Step 4. Check the constrains are satisfied the Update limits for tth hour. Step 5. Random selection of each bacteria. Step 6. Find the localized optimized value for the each bacteria by Nelder Mead algorithm. Step 7. Find the localized optimized value satisfy the objective function if not the bacteria are been places locally but the fuzzy logic according to the membership function and rule based. Step 8. Check for the Optimized feasible solution for the problem. Fig. 3. Convergence properties of different optimization algorithms The bacteria movement is been given by Swimming: (9) (i)(i) (i) )(l)k,j,(),,1( T ∆∆ ∆ +=+ iClkj ii θθ Tumble: (10) (i)(i) (i) )(l)k,1,j(),,1( T ∆∆ ∆ ++=+ iClkj ii θθ Where θi (j,k,l) represents the position of ith bacterium at jth chemotaxis, kth reproduction, and lth elimination and dispersal, respectively. Also, C(i) and ∆(i) are the movement length and direction random vector, respectively. If the value of the cost function in ith chemotactic step is smaller than the value of the cost function in i-1th chemotactic step, the moving direction will be correct and the bacterium swims in the same direction. Otherwise, the moving direction will be incorrect. In this case, a new random direction (tumble) is set for this bacterium.
7.
International Journal of
Electrical Engineering and Technology (IJEET), ISSN 0976 – 6545(Print), ISSN 0976 – 6553(Online) Volume 4, Issue 3, May - June (2013), © IAEME 49 In this A simple method has been developed for finding a local minimum point from a function of several variables by Nelder and Mead [28]. The Nelder–Mead method is used to compare the objective function values in n + 1 of the vertex for the solution of the n dimensional optimization problem. At each stage, one new vertex is generated. Then, if the new vertex has less objective function value relative to the previous vertices, this new vertex is replaced with the worst vertex of the previous level. As an example, the NM method, which is a pattern search for a problem with 2 variables, compares the values of the objective function at the three vertices of a triangle. The Nelder–Mead direct search method is shown in Fig. 4 for the minimization of a non-linear function in a two- dimensional space is shown in the diagram. By moving toward the minimum point in this method, the size of the triangle becomes increasingly small. Fig. 4. The Nelder–Mead algorithm. So that the bacteria need not search for food in every area the Nelder Mead simplex algorithm would search locally for the food so that the speed is enhanced if the values are not satisfied the constrain then the fuzzy logic is used to relocate the bacterial search in the new area which are been modelled mathematically according to the ERELD problem. The Convergence of the optimal value is very fast and accuracy more than any other model which would lead to solve the problem more effective than any other optimization technique for any real world problem. IV. CONCLUSION In this paper, by considering spinning reserve, emission, and the valve-point effects, a new ELD problem was presented and solved using the BF–NM algorithm. In this problem, the frequency constraints the practical constraints of power plants and the maximum emission limit were also considered. By investigating the simulation results, it was found that if the frequency constraints are inserted in the proposed problem, it can be solved by controlling the frequency within the permissible limit. Thus, the frequency-constrained ERELD effectively increases social welfare for consumers and GENCOs. The simulation results confirm the validity of proposed FC-ERELD problem solved by BF–NM algorithm with fuzzy in comparison with conventional method and other optimization algorithms.
8.
International Journal of
Electrical Engineering and Technology (IJEET), ISSN 0976 – 6545(Print), ISSN 0976 – 6553(Online) Volume 4, Issue 3, May - June (2013), © IAEME 50 V. REFERENCES [1] Doherty R, Lalor G, Malley MO. Frequency control in competitive electricity market dispatch. IEEE Trans Power System 2005;20(3):1588–96. [2] Bai J, Gooi HB, Xia LM, Strbac G, Venkatesh B. A probabilistic reserve market incorporating interruptible load. IEEE Trans Power Syst 2006;21(3):1079–87. [3] Kumar A, Gao W. Pattern of secure bilateral transactions ensuring power economic dispatch in hybrid electricity markets. Applied Energy 2009;86 (7–8):1000–10. [4] Vahidinasab V, Jadid S. Multi objective environmental/techno-economic approach for strategic bidding in energy markets. Applied Energy 2009;86(4):496–504. [5] Xuebin L. Study of multi-objective optimization and multi-attribute decision making for economic and environmental power dispatch. Electric Power Syst Res 2009;79(5):789– 95. [6] Abido MA. Multiobjective particle swarm optimization for environmental/economic dispatch problem. Electric Power System Res 2009;79(7):1105–13. [7] Dhillon JS, Kothari DP. Economic-emission load dispatch (EELD) using binary successive approximation-based evolutionary search. IET Gener Transm Distrib 2009;3(1):1– 16. [8] Adhinarayanan T, Sydulu M. Reserve constrained economic dispatch with prohibited operating zones using ‘‘k-logic’’ based algorithm. IEEE power engg society general meeting; 2007. p. 4244–53. [9] Adhinarayanan T, Sydulu, M. A new optimising concept to ramp-rate constrained economic dispatch with prohibited operation zones. IEEE power eng society general meeting; 2007. p. 1–6. [10] Coelho LS, Lee CS. Solving economic load dispatch problems in power systems using chaotic and Gaussian particle swarm optimization approaches. Int J Electric Power Energy Syst 2008;30(5):297–307. [11] Wu J, Liu J, Duan D, Niu H, Xie L, Li W. Research on operation reserve capacity in power market environment. IEEE Int Conf Electric Util Derg Restr Power Technol (DRPT2004) 2004. [12] Xin JQ, Bompard E, Napoli R. Security coordinated economic dispatch for joint energy and reserve markets. Int Conf Power Syst Technol 2006;3(4):1324–9. [13] Misraji J, Conejo AJ, Morales JM. Reserve-constrained economic dispatch: cost and payment allocations. Electric Power Syst Res 2008;78(5):919–25. [14] Al-sumait JS, Sykulski JK, Al-othman AK. Solution of different types of economic load dispatch problems using a pattern search method. Electric Power Comp Syst 2008;36(3):250–65. [15] Victoire TAA, Jeyakumar AE. Hybrid PSO–SQP for economic dispatch with valve- point effect. Electric Power Syst Res 2004;71(1):51–9. [16] Park JB, Lee KS, Shin JR, Lee KY. A particle swarm optimization for economic dispatch with nonsmooth cost function. IEEE Trans Power System 2005;20(1):34–42. [17] Wang SK, Chiou JP, Liu CW. Non-smooth/non-convex economic dispatch by a novel hybrid differential evolution algorithm. IET Gener Transm Distrib 2007;1(5):793–803. [18] Alsumait JS, Sykulski JK, Al-Othman AK. A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems. Appl Energy 2010;87(5):1773–81.
9.
International Journal of
Electrical Engineering and Technology (IJEET), ISSN 0976 – 6545(Print), ISSN 0976 – 6553(Online) Volume 4, Issue 3, May - June (2013), © IAEME 51 [19] Al-Othman AK, El-Naggar KM. Application of pattern search method to power system security constrained economic dispatch (SCED) with non-smooth cost function. Electric Power Syst Res 2008;78(4):667–75. [20] Da-kuo H, Fu-li W, Zhi-zhong M. Hybrid genetic algorithm for economic dispatch with valve-point effect. Electric Power Syst Res 2008;78(4):623–33. [21] He D, Wang F, Mao Zh. A hybrid genetic algorithm approach based on differential evolution for economic dispatch ED with valve-point effect. Int J Electric Power Energy Syst 2008;30(1):31–8. [22] Chen CL, Chen N. Direct search method for solving economic dispatch problem considering transmission capacity constraints. IEEE Trans Power System 2001;16(4):764–9. [23] Gaing ZL. Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Trans Power System 2003;18(3):1324–32. [24] Niknam T. A new fuzzy adaptive hybrid particle swarm optimization algorithm for non-linear, non-smooth and non-convex economic dispatch problem. Applied Energy 2010;87(1):327–39. [25] Vlachogiannis JG, Lee KY. Economic load dispatch – a comparative study on heuristic optimization techniques with an improved coordinated aggregation based PSO. IEEE Trans Power Syst 2009;24(2):991–1001. [26] Passino K. Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Syst Mag 2002;16(4):52–67. [27] Panigrahi BK, Pandi VR. Bacterial foraging optimization: Nelder–Mead hybrid algorithm for economic load dispatch. IET Gener Transm Distrib 2008;2(4):556–65. [28] Nelder JA, Mead R. A simplex method for function minimization. Comput J 1965;7:308–13. [29] Georgopoulou CA, Giannakoglou KC. Two-level, two-objective evolutionary algorithms for solving unit commitment problems. Appl Energy 2009;86 (7-8):1229–39. [30] Subbaraj P, Rengaraj R, Salivahanan S. Enhancement of combined heat and power economic dispatch using self adaptive real-coded genetic algorithm. Appl Energy 2009;86(6):915–21. [31] Parsopoulos KE, Vrahatis MN. Particle swarm optimization and intelligence: advances and applications. New York: Information Science Reference; 2010. [32] Chaturvedi KT, Pandit M, Srivastava L. Modified neo-fuzzy neuron-based approach for economic and environmental optimal power dispatch. Appl Soft Comput 2008;8(4):1428– 38. [33] Venkatesh P, Gnanadass R, Padhy NP. Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints. IEEE Trans Power Syst 2003;18(2):668–97. [34] Kyoto protocol to the United Nation framework convention on climate change English conference on the parties third session Kyoto; 1997. p. 1–10. [35] Vijay Kumar, Dr.Jagdev Singh, Dr.Yaduvir Singh and Dr.Sanjay Sood, “Design & Development of Genetic Algorithms for Economic Load Dispatch of Thermal Generating Units”, International Journal of Computer Engineering & Technology (IJCET), Volume 3, Issue 1, 2012, pp. 59 - 75, ISSN Print: 0976 – 6367, ISSN Online: 0976 – 6375. [36] D. Pattanayaka , M. Basub and R.N. Chakrabartic, “Multi-Objective Differential Evolution for Optimal Power Flow”, International Journal of Electrical Engineering & Technology (IJEET), Volume 3, Issue 1, 2012, pp. 31 - 43, ISSN Print : 0976-6545, ISSN Online: 0976-6553
10.
International Journal of
Electrical Engineering and Technology (IJEET), ISSN 0976 – 6545(Print), ISSN 0976 – 6553(Online) Volume 4, Issue 3, May - June (2013), © IAEME 52 AUTHOR’S PROFILE S.Bharathkumar received the B.E. degree from the Department of Electrical and Electronics Engineering, Anna University Tirunelveli from Vins Christian College of Engineering Nagercoil, in 2011, and is currently pursuing the M.E degree in the Department of Electrical and Electronics Engineering in Power Systems Engineering, Anna University Regional Centre Coimbatore. His research interests include Real time Optimization, Power Systems Optimization, Non linear Controlling Techniques, Fuzzy improvising Systems and Digital Image Processing. A.D.Arul Vineeth received the B.E. degree from the Department of Computer Science Engineering, Anna University Tirunelveli from Sun Engineering Nagercoil, in 2011, and is currently pursuing the M.Tech degree in the Department of Information Technology, Anna University Regional Centre Coimbatore. His research interests include Real time Optimization, Cloud Computing, Soft Data Computing, and Network Security and in Fuzzy improvising Systems. K.Ashokkumar received the B.E. degree from the Department of Electrical and Electronics Engineering, Anna University Chennai from Odaiyappa College of Engineering and Technology Theni, in 2009, and is currently pursuing the M.E degree in the Department of Electrical and Electronics Engineering Control and Instrumentation, Anna University Regional Centre Coimbatore. His research interests include Real time Control Systems, Non linear Controlling Techniques. K. Vijay Anand received the B.E. degree from the Department of Electrical and Electronics Engineering, Madras University from IFET Engineering College Villuppuram, in 2004, and completed MBA (HRM), Annamalai University Chidambaram in 2011 and is currently pursuing the M.E degree in the Department of Electrical and Electronics Engineering in Power Systems Engineering, Anna University Regional Centre Coimbatore. His research interests include Real time Optimization and in Power Systems Optimization.