Sinossi
Wind and Solar power generation is unreliable and also the main problem is MPP tracking. The main objective of this project is, • A stand-alone Hybrid Generation System can effectively extract the Maximum power from the Wind and Solar Energy Sources. • An Efficient Power sharing is to be achieved technique between the energy sources, to reduce the fuel consumption cost in the Diesel Power Plant. • To minimize the THD in the Grid and also to maintain the Grid voltage constant under disturbances
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Modelling and analysis of hybrid system using neural networks
Editore:
LAP LAMBERT Academic Publishing Sep 2019, 2019
ISBN 10: 6200305501
ISBN 13: 9786200305503
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Wind and Solar power generation is unreliable and also the main problem is MPP tracking. The main objective of this project is, - A stand-alone Hybrid Generation System can effectively extract the Maximum power from the Wind and Solar Energy Sources. - An Efficient Power sharing is to be achieved technique between the energy sources, to reduce the fuel consumption cost in the Diesel Power Plant. - To minimize the THD in the Grid and also to maintain the Grid voltage constant under disturbances 52 pp. Englisch. Codice articolo 9786200305503
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Modelling and analysis of hybrid system using neural networks
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200305501
ISBN 13: 9786200305503
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vel SakthiC.Sakthivel received B.E degree in Electrical and Electronics Engineering from Adhiyamaan College of Engineering,Hosur,TamilNadu India in 2011 M.E Degree in Power Systems Engineering from SNS College Of Technology,Coimbato. Codice articolo 385887926
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Modelling and analysis of hybrid system using neural networks
Editore:
LAP LAMBERT Academic Publishing Sep 2019, 2019
ISBN 10: 6200305501
ISBN 13: 9786200305503
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -Wind and Solar power generation is unreliable and also the main problem is MPP tracking. The main objective of this project is, ¿ A stand-alone Hybrid Generation System can effectively extract the Maximum power from the Wind and Solar Energy Sources. ¿ An Efficient Power sharing is to be achieved technique between the energy sources, to reduce the fuel consumption cost in the Diesel Power Plant. ¿ To minimize the THD in the Grid and also to maintain the Grid voltage constant under disturbancesBooks on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Codice articolo 9786200305503
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Modelling and analysis of hybrid system using neural networks : Renewable energy sources
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200305501
ISBN 13: 9786200305503
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Wind and Solar power generation is unreliable and also the main problem is MPP tracking. The main objective of this project is, - A stand-alone Hybrid Generation System can effectively extract the Maximum power from the Wind and Solar Energy Sources. - An Efficient Power sharing is to be achieved technique between the energy sources, to reduce the fuel consumption cost in the Diesel Power Plant. - To minimize the THD in the Grid and also to maintain the Grid voltage constant under disturbances. Codice articolo 9786200305503
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Modelling and analysis of hybrid system using neural networks | Renewable energy sources
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200305501
ISBN 13: 9786200305503
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Modelling and analysis of hybrid system using neural networks | Renewable energy sources | Sakthi Vel (u. a.) | Taschenbuch | 52 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200305503 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 117501680
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