9786204728568 - game theory: multi-objective optimization: and an application to economic dispatch problem de jadhav, shubham (4 resultados)
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The economic load and emission dispatch (ELED) of thermal power generation is a multi-objective mathematical optimization problem consisting of two objective functions. The first objective is to minimize of cost of fuel of generator…s of a power system, while another objective is to minimize emission cost. Both objectives functions are subjected to constraints such as power balance, transmission loss, generation limits constraints. In this paper, integrate strategic game theory based optimal response program into ELED problem. The game theory based response program evaluates optimal values of incentive for load and emission dispatch. The ELED and game theoretical algorithm presented through this work minimizes fuel cost and emission cost. It simultaneously determines optimal incentive values results for maximum relief on the power system. The developed program is tested on IEEE 30 bus system and obtained results are compared with Lagrange's optimization algorithm (Iterative Method), indicates practical benefits of the proposed algorithm. 64 pp. Englisch.
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Librería: moluna, Greven, , Alemaniamoluna
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jadhav ShubhamShubham Jadhav is currently working as an Assistant Professor in department of electrical engineering at ADCET Sangli, Maharashtra, India. He had pursued M. Tech.…in Electrical Engineering with specialization in power s.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The economic load and emission dispatch (ELED) of thermal power generation is a multi-objective mathematical optimization problem consisting of two objective functions. The first objective is to minimize of cost of fuel of generators of… a power system, while another objective is to minimize emission cost. Both objectives functions are subjected to constraints such as power balance, transmission loss, generation limits constraints. In this paper, integrate strategic game theory based optimal response program into ELED problem. The game theory based response program evaluates optimal values of incentive for load and emission dispatch. The ELED and game theoretical algorithm presented through this work minimizes fuel cost and emission cost. It simultaneously determines optimal incentive values results for maximum relief on the power system. The developed program is tested on IEEE 30 bus system and obtained results are compared with Lagrange's optimization algorithm (Iterative Method), indicates practical benefits of the proposed algorithm.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The economic load and emission dispatch (ELED) of thermal power generation is a multi-objective mathematical optimization problem consisting of two objective functions. The first objective is to minimize of cost of fuel of generators of…a power system, while another objective is to minimize emission cost. Both objectives functions are subjected to constraints such as power balance, transmission loss, generation limits constraints. In this paper, integrate strategic game theory based optimal response program into ELED problem. The game theory based response program evaluates optimal values of incentive for load and emission dispatch. The ELED and game theoretical algorithm presented through this work minimizes fuel cost and emission cost. It simultaneously determines optimal incentive values results for maximum relief on the power system. The developed program is tested on IEEE 30 bus system and obtained results are compared with Lagrange's optimization algorithm (Iterative Method), indicates practical benefits of the proposed algorithm.
