9783030474454 - neural control of renewable electrical power systems: 278 (studies in systems, decision and control) de sánchez, edgar n.; djilali, larbi (12 resultados)
Idioma: Inglés
Editorial: Springer 2021
Serie: Studies in Systems, Decision and Control, Libro 249 de 378. Libro 249 de 378 - Studies in Systems, Decision and Control
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Editorial: Springer 2021
Serie: Studies in Systems, Decision and Control, Libro 249 de 378. Libro 249 de 378 - Studies in Systems, Decision and Control
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Serie: Studies in Systems, Decision and Control, Libro 249 de 378. Libro 249 de 378 - Studies in Systems, Decision and Control
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Serie: Studies in Systems, Decision and Control, Libro 249 de 378. Libro 249 de 378 - Studies in Systems, Decision and Control
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Serie: Studies in Systems, Decision and Control, Libro 249 de 378. Libro 249 de 378 - Studies in Systems, Decision and Control
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Paperback. Condición: Brand New. 231 pages. 9.25x6.10x0.49 inches. In Stock.
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Editorial: Springer International Publishing 2021
Serie: Studies in Systems, Decision and Control, Libro 249 de 378. Libro 249 de 378 - Studies in Systems, Decision and Control
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents advanced control techniques that use neural networks to deal with grid disturbances in the context renewable energy sources, and to enhance low-voltage ride-through capacity, which is a vital in terms of ensuring that the integra…tion of distributed energy resources into the electrical power network. It presents modern control algorithms based on neural identification for different renewable energy sources, such as wind power,which uses doubly-fed induction generators, solar power, and battery banks for storage. It then discusses the use of the proposed controllers to track doubly-fed induction generator dynamics references: DC voltage, grid power factor, and stator active and reactive power, and the use of simulations to validate their performance. Further, it addresses methods of testing low-voltage ride-through capacity enhancement in the presence of grid disturbances, as well as the experimental validation of the controllers under both normal and abnormalgrid conditions. The book then describes how the proposed control schemes are extended to control a grid-connected microgrid, and the use of an IEEE 9-bus system to evaluate their performance and response in the presence of grid disturbances. Lastly, it examines the real-time simulation of the entire system under normal and abnormal conditions using an Opal-RT simulator.
Idioma: Inglés
Editorial: Springer 2021
Serie: Studies in Systems, Decision and Control, Libro 249 de 378. Libro 249 de 378 - Studies in Systems, Decision and Control
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer International Publishing Mai 2021 2021
Serie: Studies in Systems, Decision and Control, Libro 249 de 378. Libro 249 de 378 - Studies in Systems, Decision and Control
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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 -This book presents advanced control techniques that use neural networks to deal with grid disturbances in the context renewable energy sources, and to enhance low-voltage ride-through capacity, which is a vital in terms of ensuring…that the integration of distributed energy resources into the electrical power network. It presents modern control algorithms based on neural identification for different renewable energy sources, such as wind power,which uses doubly-fed induction generators, solar power, and battery banks for storage. It then discusses the use of the proposed controllers to track doubly-fed induction generator dynamics references: DC voltage, grid power factor, and stator active and reactive power, and the use of simulations to validate their performance. Further, it addresses methods of testing low-voltage ride-through capacity enhancement in the presence of grid disturbances, as well as the experimental validation of the controllers under both normal and abnormal grid conditions. The book then describes how the proposed control schemes are extended to control a grid-connected microgrid, and the use of an IEEE 9-bus system to evaluate their performance and response in the presence of grid disturbances. Lastly, it examines the real-time simulation of the entire system under normal and abnormal conditions using an Opal-RT simulator. 232 pp. Englisch.
Idioma: Inglés
Editorial: Springer International Publishing 2021
Serie: Studies in Systems, Decision and Control, Libro 249 de 378. Libro 249 de 378 - Studies in Systems, Decision and Control
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Librería: moluna, Greven, , Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent research on neural control of renewable electrical power systems  Describes robust control schemes based on neural network identification Intended for researchers and students with a contro…l background wishing to.
Idioma: Inglés
Editorial: Springer 2021
Serie: Studies in Systems, Decision and Control, Libro 249 de 378. Libro 249 de 378 - Studies in Systems, Decision and Control
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Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Springer 2021
Serie: Studies in Systems, Decision and Control, Libro 249 de 378. Libro 249 de 378 - Studies in Systems, Decision and Control
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND.
Idioma: Inglés
Editorial: Springer, Springer Mai 2021 2021
Serie: Studies in Systems, Decision and Control, Libro 249 de 378. Libro 249 de 378 - Studies in Systems, Decision and Control
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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 -This book presents advanced control techniques that use neural networks to deal with grid disturbances in the context renewable energy sources, and to enhance low-voltage ride-through capacity, which is a vital in terms of ensuring that… the integration of distributed energy resources into the electrical power network. It presents modern control algorithms based on neural identification for different renewable energy sources, such as wind power, which uses doubly-fed induction generators, solar power, and battery banks for storage. It then discusses the use of the proposed controllers to track doubly-fed induction generator dynamics references: DC voltage, grid power factor, and stator active and reactive power, and the use of simulations to validate their performance. Further, it addresses methods of testing low-voltage ride-through capacity enhancement in the presence of grid disturbances, as well as the experimental validation of the controllers under both normal and abnormalgrid conditions. The book then describes how the proposed control schemes are extended to control a grid-connected microgrid, and the use of an IEEE 9-bus system to evaluate their performance and response in the presence of grid disturbances. Lastly, it examines the real-time simulation of the entire system under normal and abnormal conditions using an Opal-RT simulator.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 232 pp. Englisch.
