Sinossi
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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L'autore
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.
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Economic Load Dispatch Using Particle Swarm Optimization
Editore:
LAP LAMBERT Academic Publishing Aug 2017, 2017
ISBN 10: 6202017678
ISBN 13: 9786202017671
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Taschenbuch. Condizione: 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. Codice articolo 9786202017671
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Economic Load Dispatch Using Particle Swarm Optimization
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202017678
ISBN 13: 9786202017671
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Paperback. Condizione: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock. Codice articolo zk6202017678
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Economic Load Dispatch Using Particle Swarm Optimization
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202017678
ISBN 13: 9786202017671
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Condizione: 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. Codice articolo 167230275
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Economic Load Dispatch Using Particle Swarm Optimization
Editore:
LAP LAMBERT Academic Publishing Aug 2017, 2017
ISBN 10: 6202017678
ISBN 13: 9786202017671
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Taschenbuch. Condizione: 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. Codice articolo 9786202017671
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Economic Load Dispatch Using Particle Swarm Optimization
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202017678
ISBN 13: 9786202017671
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Taschenbuch. Condizione: 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. Codice articolo 9786202017671
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Economic Load Dispatch Using Particle Swarm Optimization
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202017678
ISBN 13: 9786202017671
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Taschenbuch. Condizione: 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. Codice articolo 109693975
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