Performance Analysis of Solar PV-fed BLDC Motor Under Partial Shading Condition Using Various PSO MPPT Algorithms

Abstract

AbstractThe most commonly observed effects in solar PV (SPV) systems are partial shading condition (PSC) and fast varying solar irradiation (FVSI), which lead to mismatch losses, hotspot effect, heating of shaded cells, reduced output, and also reliability issues. To develop an effective and reliable solar PV system, it is very crucial to realize and alleviate the impacts of partial shading and fast varying solar irradiation conditions. Under these conditions, it is extremely difficult to acquire the maximum power from system using conventional MPPT techniques, as multiple peaks can be observed in the system characteristics. To overcome this issue, various variants of particle swarm optimization (PSO) algorithm, like weighted PSO (WPSO), accelerated PSO (APSO), and constriction coefficient PSO (CPSO) that are used to acquire the maximum power output from considered solar PV system, are implemented in this paper work. A permanent magnet brushless DC (BLDC) motor is the most viable option to use in many of the applications where solar PV system can be used. In this paper, the performance of BLDC motor under the impact of partial shading and fast varying solar irradiation using the above-mentioned variants of PSO as MPPT is studied. The solar PV system and the PSO-based MPPT algorithms are implemented using MATLAB/Simulink 2018b.KeywordsSolar PV systemPartial shading condition (PSC)Fast varying solar irradiation (FVSI)PSO MPPTAccelerated PSO (APSO)Constriction coefficient PSO (CPSO)BLDC motor