Improvement Of Hosting Capacity Of A Pv Solar System Using Optimization Techniques

Abstract

The rapid expansion of solar photovoltaic systems within Low-Voltage (LV) distribution networks has introduced significant challenges, particularly concerning the Hosting Capacity (HC) due to voltage regulation issues. This study investigates strategies to enhance HC, focusing on advanced control methods. The deployment of Particle Swarm Optimization (PSO) in enhancing the Hosting Capacity (HC) of photovoltaic systems within (LV) distribution networks has demonstrated significant efficiency. This study evaluates PSO's performance against Model Predictive Controller (MPC) and Genetic Algorithm (GA) under both linear and non-linear load conditions, focusing on its impact on harmonic currents. The PSO-based control strategy effectively maintains stable active power at 95.5 kW prior to full PV penetration, subsequently accommodating an increase to 249.6 kW, reflecting a 161.36% improvement in HC. Additionally, PSO optimizes reactive power usage, achieving a 18.73% reduction in reactive power compared to Genetic Algorithm. These findings underscore PSO's superior adaptability and responsiveness, highlighting its potential as an effective solution for optimizing PV system performance in LV distribution grids.