Isbn: 9786207460151 - a novel concept of grid power control using artificial intelligence (6 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2024

    6207460154 / 9786207460151

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    Da: preigu, Osnabrück, Germaniapreigu

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    EUR 39,45

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    Taschenbuch. Condizione: Neu. A Novel Concept of Grid Power Control Using Artificial Intelligence | Dhanraj Daphale (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207460151 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

  • Lingua: Inglese

    Editore: LAP Lambert Academic Publishing, 2024

    6207460154 / 9786207460151

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    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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    EUR 110,51

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    paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: LAP Lambert Academic Publishing

    6207460154 / 9786207460151

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 43,90

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the control strategy and steady-state model analysis of a grid-connected wind-photovoltaic (PV) hybrid power system that is proposed. PV power, wind power, and an intelligent power controller make up the system. PV generation systems with non-linear characteristics were subjected to an analysis of their performance using the General Regression Neural Network (GRNN) method. A radial basis function network-sliding mode (RBFNSM) method with good performance for online training is developed to determine the turbine speed in order to maximize wind power extraction.The intelligent controller is made up of a GRNN for maximum power point tracking (MPPT) control and an RBFNSM for rapid and steady power control response. The PV system uses GRNN, and the wind turbine's pitch angle is regulated by RBFNSM. The output signal is used to drive the boost converters in order to achieve the MPPT. The findings of the simulation verify that the suggested hybrid generation system can produce high efficiency when MPPT is used. 52 pp. Englisch.

  • Lingua: Inglese

    Editore: LAP Lambert Academic Publishing

    6207460154 / 9786207460151

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    Da: moluna, Greven, Germaniamoluna

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    EUR 37,23

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents the control strategy and steady-state model analysis of a grid-connected wind-photovoltaic (PV) hybrid power system that is proposed. PV power, wind power, and an intelligent power controller make up the system. PV generation systems with.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing

    6207460154 / 9786207460151

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    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 64,04

    EUR 30,50 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents the control strategy and steady-state model analysis of a grid-connected wind-photovoltaic (PV) hybrid power system that is proposed. PV power, wind power, and an intelligent power controller make up the system. PV generation systems with non-linear characteristics were subjected to an analysis of their performance using the General Regression Neural Network (GRNN) method. A radial basis function network-sliding mode (RBFNSM) method with good performance for online training is developed to determine the turbine speed in order to maximize wind power extraction.The intelligent controller is made up of a GRNN for maximum power point tracking (MPPT) control and an RBFNSM for rapid and steady power control response. The PV system uses GRNN, and the wind turbine's pitch angle is regulated by RBFNSM. The output signal is used to drive the boost converters in order to achieve the MPPT. The findings of the simulation verify that the suggested hybrid generation system can produce high efficiency when MPPT is used.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Jan 2024, 2024

    6207460154 / 9786207460151

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

    EUR 43,90

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    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents the control strategy and steady-state model analysis of a grid-connected wind-photovoltaic (PV) hybrid power system that is proposed. PV power, wind power, and an intelligent power controller make up the system. PV generation systems with non-linear characteristics were subjected to an analysis of their performance using the General Regression Neural Network (GRNN) method. A radial basis function network-sliding mode (RBFNSM) method with good performance for online training is developed to determine the turbine speed in order to maximize wind power extraction.The intelligent controller is made up of a GRNN for maximum power point tracking (MPPT) control and an RBFNSM for rapid and steady power control response. The PV system uses GRNN, and the wind turbine's pitch angle is regulated by RBFNSM. The output signal is used to drive the boost converters in order to achieve the MPPT. The findings of the simulation verify that the suggested hybrid generation system can produce high efficiency when MPPT is used.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.