Improving Photovoltaic Grid Integration under Partial Shading by Equilibrium Slime Mould Optimization

Abstract

In the realm of photovoltaic grid integration with Shunt Active Power Filters operating under partial shading conditions, this study introduces an innovative approach aimed at minimizing both power consumption from the electrical grid and associated costs. The primary objective of this research is to maximize the efficiency of photovoltaic system output by implementing a novel algorithm known as the Equilibrium Slime Mould Optimization technique. This algorithm is employed to precisely track the global power point of the photovoltaic array under partial shading conditions, resulting in increased photovoltaic power injection and decreased grid-side consumption. The choice of the Equilibrium Slime Mould Optimization technique is motivated by its exceptional ability to efficiently explore the search space and avoid falling into local extrema. Additionally, this article incorporates Predictive Direct Power Control, one of the most contemporary Shunt Active Power Filter control techniques, to effectively eliminate harmonics and enhance overall system efficiency. To validate this proposed approach, a simulation setup was meticulously developed. The obtained results demonstrate a remarkable enhancement in the efficiency of photovoltaic power injection compared to the conventional sliding mode technique, which tends to get trapped at local maximum power point, thereby resulting in diminished power injection. This pioneering approach heralds a new era in the application of metaheuristic algorithms within practical systems, leading to enhanced productivity and reduced costs for consumers. Furthermore, it holds the potential to advance various categories of interconnected photovoltaic systems, ensuring improved performance across diverse operational scenarios.