Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence - Brossura

Hameid, Amal M. Abd El-; Elbaset, Adel A.; Ebeed, Mohamed; Abdelsattar, Montaser

Brossura

ISBN 10: 303129694X ISBN 13: 9783031296949

Casa editrice: Springer, 2024

Riassunto

?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.

Su questo libro

Informazioni sull'autore

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.

Adel A Elbaset, Ph.D., is a Full Professor with the Faculty of Engineering at Minia University, Egypt. He received his B.S., M.Sc., and Ph.D. from University in 1995, 2000, and 2006, respectively. Dr. Elbaset is a Full Professor with the Faculty of Engineering at Heliopolis University, where he is also Vice-Dean for Student Affairs and Head of the Department of Electromechanics. He has published over 120 technical papers in international journals and conferences and has supervised and examined more than 50 M.Sc. and Ph.D. theses at Minia and other Egyptian universities. His research interests are wind energy systems, photovoltaics, renewable energy systems, power electronics, power system protection and control, power quality and harmonics, and applications of neural networks and fuzzy systems. He has published 14 international books in the field of renewable energy.

Mohamed Ebeed Hussein, Ph.D., received a B.S. from Aswan University in 2005 and an M.Sc. in electrical engineering from South Valley University in 2013. He received the jointly-supervised Ph.D. From the Department of Electrical Engineering, Faculty of Engineering, Aswan University, and University of Jaen, Spain, in 2018. Currently, he is a Lecturer in the Department of Electrical Engineering, Faculty of Engineering at Sohag University, Egypt. From 2008 to 2009, he was a lecturer at the Aswan Technical Institute. From 2009 to 2017, he was a maintenance engineer with EFACO Company. 

Montaser Abd El Sattar Mohammed, Ph.D., received a B.Sc. from the Faculty of Engineering, Department of Electrical Engineering at Al-Azhar University, Egypt, in 2006 and an M.Sc., and Ph.D. from the Department of Electrical Engineering, Faculty of Engineering at Minia University, Egypt, in 2011 and 2015, respectively. Dr, Mohammed has been working as a Lecturer at the El-Minia High Institute of Engineering and Technology, El-Minia, Egypt, since 2015. His research interests are renewable energy sources, power electronics, power quality, and harmonics.

Dalla quarta di copertina

?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.

• Covers developmentsto enhance the integration of renewable energy sources;
• Presents simulation results, including standard IEEE bus test systems; 
• Includes MATLAB M-file codes.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 303129694X
• ISBN 13: 9783031296949
• Rilegatura: Copertina flessibile
• Numero di pagine: 252
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania