基于混合模糊-PSO 的光伏 MPPT 算法.zip

% Load solar panel parameters and other data % Replace with your actual data loading code % Define PSO parameters num_particles = 30; max_iterations = 100; w = 0.5; % Inertia weight c1 = 1.5; % Cognitive coefficient c2 = 1.5; % Social coefficient % Initialize particles' positions and velocities particles_position = rand(num_particles, 2); % Initial voltage and current positions particles_velocity = randn(num_particles, 2); % Initial velocity % Initialize global best position and fitness global_best_position = zeros(1, 2); global_best_fitness = Inf; % Main PSO optimization loop for iteration = 1:max_iterations for particle = 1:num_particles % Calculate fitness value for the current particle's position fitness = calculate_fitness(particles_position(particle, :)); % Update the global best if the current fitness is better if fitness < global_best_fitness global_best_fitness = fitness; global_best_position = particles_position(particle, :); end % Update particle's velocity using PSO equation particles_velocity(particle, :) = w * particles_velocity(particle, :) ... + c1 * rand(1, 2) .* (global_best_position - particles_position(particle, :)) ... + c2 * rand(1, 2) .* (particles_position(particle, :) - particles_position(particle, :)); % Update particle's position particles_position(particle, :) = particles_position(particle, :) + particles_velocity(particle, :); end end % Apply the optimized solution to the PV system optimal_voltage = global_best_position(1); optimal_current = global_best_position(2); % Display results fprintf('Optimal Voltage: %.2f V\n', optimal_voltage); fprintf('Optimal Current: %.2f A\n', optimal_current); % Fitness function (replace with your specific PV system's fitness calculation) function fitness = calculate_fitness(position) % Implement fitness calculation using the position (voltage and current) % Replace with your actual fitness calculation logic % For MPPT, the fitness function typically evaluates power output voltage = position(1); current = position(2); power_output = voltage * current; fitness = -power_output; % Minimize negative power output end