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Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence
Amal M. Abd El- HameidAdel A. ElbasetMohamed EbeedMontaser Abdelsattar
出版Springer Nature, 2023-05-11
主題Technology & Engineering / Power Resources / Alternative & RenewableTechnology & Engineering / MachineryTechnology & Engineering / Power Resources / GeneralTechnology & Engineering / Electrical
ISBN30312969239783031296925
URLhttp://books.google.com.hk/books?id=33m-EAAAQBAJ&hl=&source=gbs_api
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註釋​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.