Novel PV Power Generation System with Whale Optimization Algorithm under Partial Shading

Abstract

The perturb & observes (P&O) algorithm and the modified invasive whale optimisation algorithm (WOA) have been developed to maximise the output power of a photovoltaic system (PVS), particularly in the presence of partial shade and rapidly changing weather. Partial shadowing makes it difficult to maximise a PVS's power production since the traditional P&O approach finds it difficult to determine the maximum power point (MPP) in these situations. In these situations, the global MPP can be attained with the use of evolutionary optimisation approaches. This study suggests using the WOA-based P&O approach to modify the PVS's reference voltage in accordance with the current weather in order to maintain MPP functioning. The greatest power generated by the PVS is efficiently captured and sent to the dc-loads via the boost converter. Through case studies, the effects of abrupt weather changes are examined. The efficiency of the suggested strategy is validated by presenting MATLAB results produced with Simulink. The suggested method's outcomes are contrasted with GWO, PSO, and GA.