Particle Swarm Optimization PSO Algorithm Based MPPT for PV System Operating under Partial Shading Condition

With ever increasing demand, solar energy has emerged as one of the most significant renewable energy sources consequently, operating photovoltaic panels to maximize efficiency is vital. However, solar panels have difficulties, such as the Partial Shading Condition, which has a substantial influence on the efficiency of the PV system. MPPT plays a critical role in improving the power of PV systems. PV trajectories will be diverse and exceedingly complicated due to the numerous peaks accessible during PSC. Traditional MPPT approaches will fail to achieve the Global Maximum Power Point and instead will linger at the Local Maximum Peak Point, decreasing the PV modules efficiency and performance. The Particle Swarm Optimization technique is used in this work to determine the GM PP by measuring peak power. In terms of Maximum Power Point, this approach offers a high degree of reliability, robustness, and proficiency. MATLAB Simulink is used to verify the suggested approach. Sarad Kumar | Pramod Kumar Rathore "Particle Swarm Optimization (PSO) Algorithm Based MPPT for PV System Operating under Partial Shading Condition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-6 , October 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52182.pdf Paper URL: https://www.ijtsrd.com/engineering/other/52182/particle-swarm-optimization-pso-algorithm-based-mppt-for-pv-system-operating-under-partial-shading-condition/sarad-kumar