PV MPPT with PSO Algorithm

This article explores the working principles, advantages, and applications of the Particle Swarm Optimization (PSO) algorithm for Photovoltaic Maximum Power Point Tracking (MPPT). The algorithm utilizes PSO techniques to dynamically adjust the output voltage and current of photovoltaic cells, enabling efficient tracking of the maximum power point. Key implementation aspects include initializing particle positions and velocities to represent potential operating points, updating these parameters based on fitness evaluations (typically power output measurements), and iteratively converging toward the optimal solution. The algorithm demonstrates high efficiency, rapid response, and accuracy in tracking performance, making it widely adopted in solar panel control and management systems. Important functions in code implementation would involve calculating the power output for each particle position, updating velocity vectors using cognitive and social components, and applying constraints to ensure operational limits. Despite its significant advantages, further research and improvements are necessary to enhance its performance and applicability under varying environmental conditions.