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Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence

Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence

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Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence

Hameid, Amal M. Abd El-; Elbaset, Adel A.; Ebeed, Mohamed; Abdelsattar, Montaser

​Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence presents methods for monitoring transmission systems and enhancing distribution system performance using modern optimization techniques considering different multi-objective functions such as voltage loss sensitivity indexes, reducing total annual cost, and voltage deviation. The authors offer a comprehensive survey of distributed energy resources (DERs), explain the backward/forward sweep (BFS) power flow algorithm, and present simulation results on the optimal integration of photovoltaic-based distributed generators (PV-DG) and distribution static synchronous compensators (DSTATCOM) in different transmission and distribution systems. This book will be a valuable academic and industry resource for electrical engineers, students, and researchers working on optimization techniques, photovoltaic systems, energy engineering, and artificial intelligence.

Details

Published by: Springer

Publication Date: 2023-05-12

Format: Hardcover

ISBN-13: 9783031296918

DOI: 10.1007/978-3-031-29692-5

Dimensions: 235.0cm x155.0cm

Pages: 226.0

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