Economic Dispatch Problem in Power Systems

This file contains the complete source code implementation of the particle swarm optimization (PSO) algorithm for solving the economic dispatch problem in power systems. The economic dispatch problem represents a critical optimization challenge in power system operations, focusing on optimal power generation allocation among various units while minimizing total generation costs. The PSO algorithm implemented here utilizes swarm intelligence principles with particles representing potential solutions that iteratively update their positions and velocities based on personal and global best solutions. The code includes key functionalities such as: - Objective function implementation for generation cost minimization - Constraint handling for power balance and generator limits - Velocity and position update mechanisms with inertia weights - Global and personal best solution tracking This implementation provides researchers and power system engineers with a robust foundation for solving economic dispatch problems, featuring modular code structure that allows customization of cost functions, constraint parameters, and algorithm parameters. The code enables further development and adaptation to specific power system configurations, supporting both academic research and practical applications in power system optimization.