PSO-Based MPPT Controller for Solar Panels

Based on user requirements, we have developed a PSO-based Maximum Power Point Tracking (MPPT) controller for solar panel systems. This controller employs the Particle Swarm Optimization algorithm to dynamically track the optimal power point, ensuring maximum solar-to-electrical energy conversion efficiency. The implementation features a population of potential solutions (particles) that iteratively adjust their positions (operating points) based on individual and group best performances, using velocity update equations with inertia weights and acceleration coefficients. Key functions include real-time voltage/current sampling, power calculation, and PWM signal generation for DC-DC converter control. This intelligent controller enhances solar panel energy utilization by continuously adapting to changing environmental conditions (irradiance/temperature), thereby maximizing system performance and power output efficiency through computationally efficient swarm intelligence techniques.