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Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence

Montaser Abdelsattar, Mohamed Ebeed, Adel A. Elbaset, et al.

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Springer Nature Switzerland img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

​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.

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Schlagwörter

Lightning attachment procedure optimization (LAPO), Equilibrium optimizer (EO), Optimization techniques, Distributed static compensator (D-STATCOM), Modified ant lion optimization (MALO), Distributed generation, Voltage stability index, Photovoltaic-based distributed generators (PV-DG), Voltage deviation, Photovoltaics, Power system monitoring