Four Bioinspired Optimization Techniques in PV MPPT under Uniform and Non-Uniform Shading

Abstract

Photovoltaic (PV) is one of the renewable sources that increased application because have no mechanical part. The surrounding conditions (irradiance, temperature) affect the output power from PV. Moreover, partial shading between panels affects the P-V curve which reduces the output power generated from PV. Several maximum power point tracking algorithms are utilized for each maximum of power from PV. This study compares the conventional P&O approach with four meta-heuristic algorithms PSO, GWO, CS, and HHO in terms of maximum power, efficiency, rising time, and settling time under uniform and non-uniform irradiation. Techniques are simulated in MATLAB/SIMULINK in three cases: in case1) uniform irradiation, In case 2) non-uniform irradiation with a step change in irradiance for every second with constant temperature, and In case 3) non-uniform irradiation with a change in irradiance and temperature every second. The results show in case1 with the best efficiency in uniform irradiance the PSO is the best in the high irradiance and the GWO in medium and CS is the best in low irradiance. in non-uniform irradiance the best efficiency in case2 is PSO and case 3 is HHO.