Title :
MPPT control of PV system under partially shaded conditions based on PSO-DE hybrid algorithm
Author :
Li Feng-mei ; Deng Fang ; Guo Su ; Fan Xin-yu
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
Abstract :
Under partially shaded conditions, the P-V characteristics of Photovoltaic (PV) systems have multiple local maxima. In this paper, a new hybrid algorithm based on Particle Swarm Optimization (PSO) algorithm and Differential Evolution (DE) algorithm has been proposed with the aim of solving maximum power point tracking problem. Simulation results are provided to show that output power of PV system could be stability controlled near the maximum power point. Meanwhile, compared with the PSO algorithm and DE algorithm, the hybrid tracking algorithm requires a much shorter time to reach the global maximum power point.
Keywords :
evolutionary computation; maximum power point trackers; particle swarm optimisation; solar cells; DE algorithm; MPPT control; P-V characteristics; PSO-DE hybrid algorithm-based partially shaded conditions; PV system; differential evolution algorithm; global maximum power point; maximum power point tracking problem; multiple local maxima; particle swarm optimization algorithm; stability control; Control systems; Electronic mail; Hybrid power systems; Industrial electronics; Maximum power point trackers; Particle swarm optimization; Photovoltaic systems; Differential Evolution (DE); Maximum Power Point Tracking(MPPT); Particle Swarm Optimization (PSO); hybrid algorithm; partially shaded conditions;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
