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Titlebook: Neural Control of Renewable Electrical Power Systems; Edgar N. Sánchez,Larbi Djilali Book 2020 The Editor(s) (if applicable) and The Autho

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发表于 2025-3-21 17:43:35 | 显示全部楼层 |阅读模式
书目名称Neural Control of Renewable Electrical Power Systems
编辑Edgar N. Sánchez,Larbi Djilali
视频video
概述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 co
丛书名称Studies in Systems, Decision and Control
图书封面Titlebook: Neural Control of Renewable Electrical Power Systems;  Edgar N. Sánchez,Larbi Djilali Book 2020 The Editor(s) (if applicable) and The Autho
描述.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
出版日期Book 2020
关键词Renewable Electrical Power Systems; Neural Control; Wind System Modeling; Neural Control Synthesis; Micr
版次1
doihttps://doi.org/10.1007/978-3-030-47443-0
isbn_softcover978-3-030-47445-4
isbn_ebook978-3-030-47443-0Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 23:28:07 | 显示全部楼层
2198-4182 entification.Intended for researchers and students with a co.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 th
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hat claims can we really meet? How do we view human beings in relation to computers? What is the impact of the computer in use? How can we promote quality? What kind of social changes do we bring about? To what extent is information technology conducive to human development? The authors of this book
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Edgar N. Sánchez,Larbi Djilali5 - 30, 1988. This was organized by the Technical University of Berlin (TUB) in cooperation with the German National Research Center for Computer Science (GMD), Sankt Augustin, and sponsored by the Volkswagen Foundation whose financial support we gratefully acknowledge. The conference was an interdi
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Edgar N. Sánchez,Larbi Djilali5 - 30, 1988. This was organized by the Technical University of Berlin (TUB) in cooperation with the German National Research Center for Computer Science (GMD), Sankt Augustin, and sponsored by the Volkswagen Foundation whose financial support we gratefully acknowledge. The conference was an interdi
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