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Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence PDF

243 Pages·2023·9.337 MB·English
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About Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence

​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.

Detailed Information

Author:Amal M. Abd El- Hameid, Adel A. Elbaset, Mohamed Ebeed, Montaser Abdelsattar
Publication Year:2023
ISBN:9783031296918
Pages:243
Language:English
File Size:9.337
Format:PDF
Price:FREE
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