Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems

PV characteristics, performance and modelling.- Partial shading effect of PV MPPT.- Power electronics converters used for MPPT of PV systems.- Historical review of MPPT techniques.- Comparison between different conventional techniques used in MPPT of PV systems.- Quadratic and linear programming as PV MPPT optimization technique.- Fuzzy logic controller as a PV MPPT optimization technique.- Artificial neural network as a PV MPPT optimization technique.- Genetic algorithm as a PV MPPT optimization technique.- Particle swarm optimization as a PV MPPT optimization technique.- Simulated Annealing as a PV MPPT optimization technique.- Tabu search as a PV MPPT optimization technique.- Artificial bee colony as a PV MPPT optimization technique.- Evolutionary algorithm as a PV MPPT optimization technique.- Other heuristic and meta-heuristic as PV MPPT optimization technique.- Hybrid techniques used as PV MPPT optimization technique.- Comprehensive comparison between smart and conventional PV-MPPT techniques.- Index evaluation criteria of the photovoltaic partial shading mitigation techniques.- Centralized and distributed PV-MPPT.- Practical implementation of PV-MPPT.

Dr. Ali Mohamed Eltamaly received the B.Sc. and M.Sc. degrees in electrical engineering from Al-Minia University, Egypt in 1992 and 1996, respectively. He received his Ph.D. Degree in Electrical Engineering from Texas A&M University in 2000. He is currently a Professor at Mansoura University, Egypt and King Saud University, Riyadh, Saudi Arabia. His current research interests include renewable energy, smart grid, power electronics, motor drives, power quality, artificial intelligence, evolutionary and heuristic optimization techniques, and distributed generation. He published 15 book and book chapters and he has authored or coauthored more than 150 refereed journal and conference papers. published number of patents in USA patent office. He has supervised a number of M.S. and PhD theses, worked on number of technical projects. He got professor award for Scientific Excellence, Egyptian supreme council of Universities, Egypt, June, 2017 and he has awarded many prizes in different universities in Egypt and Saudi Arabia. He is participating as an editor and associate editors in many international journals and chaired many international conferences' sessions.
Almoataz Y. Abdelaziz received the B.Sc. and M.Sc. degrees in electrical engineering from Ain Shams University, Cairo, Egypt, in 1985 and 1990, respectively, and the Ph.D. degree in electrical engineering according to the channel system between Ain Shams University, Egypt, and Brunel University, U.K., in 1996. He is currently a Professor of electrical power engineering at Ain Shams University. He has authored or coauthored more than 350 refereed journal and conference papers and 13 book chapters in his research areas which include the applications of artificial intelligence, evolutionary and heuristic optimization techniques to power systems power system operation, planning, and control. Dr. Abdelaziz is the chairman of IEEE Education Society chapter in Egypt, a senioreditor of Ain Shams