Simulation and experimental validation of fast adaptive particle swarm optimization strategy for photovoltaic global peak tracker under dynamic partial shading
Sustainable Energy Technologies Center, King Saud University, Riyadh, 11421, Saudi Arabia; Electrical Engineering Department, Mansoura University, Mansoura, Egypt; Saudi Electricity Company Chair in Power System Reliability and Security, King Saud University, Riyadh, 11421, Saudi Arabia; Electrical Engineering Department, College of Engineering, King Saud University, Riyadh, 11421, Saudi Arabia; Electrical Engineering Department, Majmaah University, Almajmaah11952, Saudi Arabia; Electrical Engineering Department, Assiut University, Assiut, 71515, Egypt
Recommended Citation:
Eltamaly A.M.,Al-Saud M.S.,Abokhalil A.G.,et al. Simulation and experimental validation of fast adaptive particle swarm optimization strategy for photovoltaic global peak tracker under dynamic partial shading[J]. Renewable and Sustainable Energy Reviews,2020-01-01,124