MPPT Control of Photovoltaic Power Generation System Based on Improved Eagle Perching Optimization Algorithm

Photovoltaic power generation system is susceptible to temperature and light conditions, and its P-V curve shows multiple peaks, which reduces the effectiveness of the traditional maximum power point tracking method. Aiming at this problem, the eagle perching optimization algorithm (EPO) is introduced into maximum power-point-tracking (MPPT) control, and its scaling factor and incremental formula are improved, which effectively improves the convergence speed and reduces the number and amplitude of shocks. In Matlab/Simulink simulation, three test environments are set up: no shadow condition, static shadow condition and abrupt shadow condition. It is verified that the improved eagle perching optimization algorithm can track the maximum output power point of photovoltaic array quickly and stably, and improve the working efficiency of photovoltaic power generation system.