Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence (eBook)

?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.

Amal Mohamed Abd El-Hameid, Ph.D., received her B.Sc. and M.Sc. degrees from the Electrical Engineering Department at Sohag University, Egypt, in 2012 and 2016, respectively. She is currently pursuing a Ph.D. Since May 2016, she has worked as an Assistant Lecturer in the Electrical Engineering Department for the Faculty of Industrial Education at Sohag University. Her research interests include renewable energy, power quality, photovoltaics, and optimization techniques.