Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence

Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence

  • Amal M. Abd El- Hameid
  • Adel A. Elbaset
  • Mohamed Ebeed
  • Montaser Abdelsattar
Publisher:Springer NatureISBN 13: 9783031296925ISBN 10: 3031296923

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Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence is written by Amal M. Abd El- Hameid and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031296923 (ISBN 10) and 9783031296925 (ISBN 13).

​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.