King Saud University, Riyadh, Saudi Arabia &
Mansoura University, Mansoura, Egypt.
By Prof. Ali M Eltamaly, King Saud University, Riyadh 11421, Saudi Arabia & Mansoura University, Mansoura, Egypt.
Due to the multiple peaks generated in the P-V characteristics of the partially shaded PV arrays there is a need for an effective optimization technique to capture its global peak (GP) and avoid being trapped in one of the local peaks (LPs) became urgent. Many metaheuristic optimization techniques like particle swarm optimization (PSO), bat algorism (BA), etc. introduced to tackle this problem with great efforts to balance between exploration and exploitation performances. These techniques are using constant number of searching agents through all iterations. The tracking of the maximum power point of the PV system needs high exploration in the beginning which needs high number of searching agents and lower number of searching agents at the final stage to enhance exploitations which is not available in all the optimization techniques used so far. In this paper a novel optimization technique called musical chair algorithm (MCA) is introduced in this paper as a new optimization technique to tackle this problem. This optimization technique is inspired by the famous musical chairs game where the players and chairs are reduced one by one in each iteration which can enhance the exploration at starting the optimization and enhance the exploitation at the final stage of optimization by using low number of searching agents. The simulation and experimental results from using the MCA as an MPPT of PV system is considerably reduced the convergence time and failure rate compared to five famous optimization techniques. The convergence time to less than 20% to 50% as compared the same time obtained from using 5 benchmark optimization techniques. These results proved the superiority of the new proposed MCA technique in the MPPT of PV system applications.
Biography
Ali Mohamed Eltamaly (Ph.D.-2000) is a full professor at Mansoura University, Egypt, and King Saud University, Saudi Arabia. He 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. 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 20 book and book chapters and he has authored or coauthored more than 200 refereed journal and conference papers. He published several patents in the USA patent office. He has supervised several M.S. and Ph.D. theses worked on several National/International technical projects. He got distinguish 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. He is chair professor of Saudi Electricity Company Chair in power system reliability and security, King Saud University, Riyadh, Saudi Arabia.