Particle Swarm Optimization Code for Optimal Power Flow Calculation

Source code implementation for optimal power flow calculation using Particle Swarm Optimization (PSO) algorithm.

In optimal power flow computation, the algorithm optimizes power transmission distribution within electrical systems to achieve optimal performance and efficiency. The PSO algorithm is a swarm intelligence-based optimization technique that simulates bird flock foraging behavior through iterative population-based search. This implementation applies PSO to power flow optimization by modeling generator outputs and bus voltages as particles in multidimensional search space, where each particle's position represents a potential solution. The algorithm evaluates fitness functions typically incorporating generation costs, transmission losses, and voltage constraints. Key implementation components include particle velocity updates using inertial weights, personal best positions, and global best positions. By applying PSO to optimal power flow problems, we can effectively optimize power distribution schemes, enhance system stability through constraint satisfaction, and improve overall grid efficiency using this metaheuristic approach.