9786200571113 - stochastic hybrid algorithmic solutions for unit commitment problem: comparative optimal cost analysis of meta heuristic algorithms for constrained unit commitment problem in power sector von vippalapalli, lakshmi devi; manohar, v joshi; sujatha, p (8 Ergebnisse)
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Taschenbuch. Zustand: Neu. STOCHASTIC HYBRID ALGORITHMIC SOLUTIONS FOR UNIT COMMITMENT PROBLEM | COMPARATIVE OPTIMAL COST ANALYSIS OF META HEURISTIC ALGORITHMS FOR CONSTRAINED UNIT COMMITMENT PROBLEM IN POWER SECTOR | Lakshmi Devi Vippalapalli (u. a.) | Taschenbuch | 164 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | E…AN 9786200571113 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In a restructured electrical power system market, there is a need for planned, secured and reliable hour based optimal power generation to provide a cost effective power generating entities of a standard designed market. The solution…of constrained unit commitment (CUC) is a challenging task to the researchers, which interlines two optimization problems named as unit scheduling problem and economic load dispatch problem. The traditional mathematical techniques and stochastic optimization techniques poses drawbacks of highly heuristic in nature, high operational cost & computational time. In this book, main objective is to develop a meta-heuristic hybridized algorithm for finding a feasible solution of the minimized fuel cost with better accuracy, less computational effort and minimum computational time in exploring the global search space. The book comprises of the development of meta-heuristic algorithms such as Bat, Hybrid Bat-Artificial Bee Colony (Bat-ABC) and Hybrid Bat-Genetic Algorithm (Bat-GA) tested for the standard 3 unit, 10 unit and 45 unit systems and proper comparative analysis of operational costs are mentioned for easy emphasis. 164 pp. Englisch.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vippalapalli Lakshmi DeviDr. Lakshmi Devi Vippalapalli is currently working as Associate Professor in EEE Department at SV College of Engineeirng, Tirupathi, A.P, India. She received her Ph.D in 2019 from… JNTUA , M.Tech from NEC,Nell.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In a restructured electrical power system market, there is a need for planned, secured and reliable hour based optimal power generation to provide a cost effective power generating entities of a standard designed market. The solution of c…onstrained unit commitment (CUC) is a challenging task to the researchers, which interlines two optimization problems named as unit scheduling problem and economic load dispatch problem. The traditional mathematical techniques and stochastic optimization techniques poses drawbacks of highly heuristic in nature, high operational cost & computational time. In this book, main objective is to develop a meta-heuristic hybridized algorithm for finding a feasible solution of the minimized fuel cost with better accuracy, less computational effort and minimum computational time in exploring the global search space. The book comprises of the development of meta-heuristic algorithms such as Bat, Hybrid Bat-Artificial Bee Colony (Bat-ABC) and Hybrid Bat-Genetic Algorithm (Bat-GA) tested for the standard 3 unit, 10 unit and 45 unit systems and proper comparative analysis of operational costs are mentioned for easy emphasis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In a restructured electrical power system market, there is a need for planned, secured and reliable hour based optimal power generation to provide a cost effective power generating entities of a standard designed market. The solution of co…nstrained unit commitment (CUC) is a challenging task to the researchers, which interlines two optimization problems named as unit scheduling problem and economic load dispatch problem. The traditional mathematical techniques and stochastic optimization techniques poses drawbacks of highly heuristic in nature, high operational cost & computational time. In this book, main objective is to develop a meta-heuristic hybridized algorithm for finding a feasible solution of the minimized fuel cost with better accuracy, less computational effort and minimum computational time in exploring the global search space. The book comprises of the development of meta-heuristic algorithms such as Bat, Hybrid Bat-Artificial Bee Colony (Bat-ABC) and Hybrid Bat-Genetic Algorithm (Bat-GA) tested for the standard 3 unit, 10 unit and 45 unit systems and proper comparative analysis of operational costs are mentioned for easy emphasis.
