Modified Artificial Killer Whale Optimization Algorithm for Maximum Power Point Tracking under Partial Shading Condition

摘要

Maximum solar power harnessing from photovoltaic (PV) modules under different conditions is extremely important. It becomes prominent for photovoltaic modules to operate at maximum power point during all conditions. This paper proposes a modified artificial whale optimization algorithm for tracking maximum power point of photovoltaic module under partial shaded condition. Simulation and programming involving this MAKWO algorithm is performed in MATLAB/SIMULINK to show the suitability and reliability under one shading pattern only. The obtained results have been juxtaposed with modified artificial wolf pack algorithm (MAWP), artificial bee colony (ABC) and particle swarm optimization (PSO) method which strongly show the excellency and superiority of MAKWO algorithm over all the existing MPPT techniques.