Intelligent Control system for BLDC Motor Driven Solar Water Pumping System using Wode Algorithm

Solar photovoltaic (SPV) panels-based water pumping system is proposed in this article. There is one global maximum power point on the power-voltage (P-V) curve of the SPV array, and there are also several local maximum power points (MPPs). In this article, the WODE search algorithm is used in the context of maximum power point tracking (MPPT) for photovoltaic (PV) systems. When compared to other approaches, the WODE search has a few benefits, such as its fast convergence and the small number of highly effective parameter tuning steps. These benefits originate from the search's ability to identify superior options. In a nutshell, the WODE method allows for rapid and consistent tracking of the peak's location, where the most potential exists. Unlike other evolutionary approaches, the output of this algorithm for Maximum Power Point Tracking (MPPT) under partial shading is a positive Luo converter, which eliminates power loss and oscillations due to factors like a larger number of search particles, steady state oscillation, a heavy computational burden, and so on. The Luo converter is a type of converter with high gain and low component count. The outcomes prove that WODE can track MPP in a variety of settings with less power loss and quicker convergence than other approaches.