The economic sharing of load among thermal generating units leads to significant revenue savings for utilities. The Economic Load Dispatch is a complex,non-linear optimization problem governed by several constraints. The application of Particle Swarm Optimization with some modifications provides better generation scheduling resulting in fast and more economic solutions as against other classical optimization techniques.
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The economic sharing of load among thermal generating units leads to significant revenue savings for utilities. The Economic Load Dispatch is a complex,non-linear optimization problem governed by several constraints. The application of Particle Swarm Optimization with some modifications provides better generation scheduling resulting in fast and more economic solutions as against other classical optimization techniques.
Mr. Shubham Tiwari received his B.Tech and M.Tech degrees in Electrical& Electronics Engineering from APJAKTU Lucknow. He is pursuing Ph.D. in Power Systems from Institute of Engineering and Technology (APJAKTU), Lucknow. His area of interest includes Economic Operations in Power Systems, Power System Optimization, Integration of renewable energy.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The economic sharing of load among thermal generating units leads to significant revenue savings for utilities. The Economic Load Dispatch is a complex,non-linear optimization problem governed by several constraints. The application of Particle Swarm Optimization with some modifications provides better generation scheduling resulting in fast and more economic solutions as against other classical optimization techniques. 68 pp. Englisch. Nº de ref. del artículo: 9786202017671
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock. Nº de ref. del artículo: zk6202017678
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Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tiwari ShubhamMr. Shubham Tiwari received his B.Tech and M.Tech degrees in Electrical& Electronics Engineering from APJAKTU Lucknow. He is pursuing Ph.D. in Power Systems from Institute of Engineering and Technology (APJAKTU), Luckno. Nº de ref. del artículo: 167230275
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The economic sharing of load among thermal generating units leads to significant revenue savings for utilities. The Economic Load Dispatch is a complex,non-linear optimization problem governed by several constraints. The application of Particle Swarm Optimization with some modifications provides better generation scheduling resulting in fast and more economic solutions as against other classical optimization techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Nº de ref. del artículo: 9786202017671
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The economic sharing of load among thermal generating units leads to significant revenue savings for utilities. The Economic Load Dispatch is a complex,non-linear optimization problem governed by several constraints. The application of Particle Swarm Optimization with some modifications provides better generation scheduling resulting in fast and more economic solutions as against other classical optimization techniques. Nº de ref. del artículo: 9786202017671
Cantidad disponible: 1 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Economic Load Dispatch Using Particle Swarm Optimization | Shubham Tiwari (u. a.) | Taschenbuch | 68 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202017671 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 109693975
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