Economic Load Dispatch Problem Using Refined Genetic Algorithm - Chaine, Sabita
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Solving economic dispatch problems normally involved optimization process. So, new techniques are continuously being developed that result in a more efficient system operation. As a good global optimal tool, evolutionary algorithm (EA) is widely used in the recent past in many engineering fields. EAs differ from traditional optimization techniques in that they involve a search from a "population" of solutions, not from a single point. In this work, genetic algorithm (GA) is also used for optimization of economic load dispatch and the results are compared comprehensively with Classical Lagrangian Method (LMM).…mehr

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Produktbeschreibung
Solving economic dispatch problems normally involved optimization process. So, new techniques are continuously being developed that result in a more efficient system operation. As a good global optimal tool, evolutionary algorithm (EA) is widely used in the recent past in many engineering fields. EAs differ from traditional optimization techniques in that they involve a search from a "population" of solutions, not from a single point. In this work, genetic algorithm (GA) is also used for optimization of economic load dispatch and the results are compared comprehensively with Classical Lagrangian Method (LMM).
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Autorenporträt
Dr. (Mrs.) S. Chaine received the B.E. degree in Electrical Engineering OSME, Keonjhar, India in 2005 and M.Tech degree in Electrical Engineering (Power Electronics & drives) from the BPUT, Rourkela, Odisha, India in 2011. She completed Ph.D. from VSSUT Burla, Odisha, India in the year 2017. Her current research interests include AGC,PSOC,RER.