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.
| Autor: | Abdelsattar, Montaser Ebeed, Mohamed Elbaset, Adel A. Hameid, Amal M. Abd El- |
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| ISBN: | 9783031296949 |
| Sprache: | Englisch |
| Seitenzahl: | 226 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 12.05.2024 |
| Schlagworte: | Distributed generation Distributed static compensator (D-STATCOM) Equilibrium optimizer (EO) Lightning attachment procedure optimization (LAPO) Modified ant lion optimization (MALO) Optimization techniques Photovoltaics Power system monitoring Voltage deviation Voltage stability index |
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