Application of Particle Swarm Optimizer to Economic Load Dispatch Problems

Abstract

This project presents an efficient and reliable Particle Swarm Optimization (PSO) method for the Economic load dispatch (ELD) problems which is considered as one of the complex problems to be tackled. The PSO techniques have drawn much attention from the power system community and been successfully applied in many complex optimization problems in power systems. The PSO method was developed through the simulation of a simplified social system and has been found to be robust in solving continuous nonlinear optimization problems in terms of accuracy of the solution and computation time and it can out perform other algorithms.
In this project, the proposed algorithm is applied for the ELD of three unit thermal plant systems.