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Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence
Amal M. Abd El- Hameid
(Author)
·
Adel A. Elbaset
(Author)
·
Mohamed Ebeed
(Author)
·
Springer
· Hardcover
Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence - Hameid, Amal M. Abd El- ; Elbaset, Adel A. ; Ebeed, Mohamed
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Synopsis "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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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