Application of Mopso for Economic Load Dispatch Solution with Transmission Losses

This paper presents a new multi objective heuristic algorithm for Dynamic Economic Load Dispatch (DELD) problem soultion with transmission losses based on new version of the Particle Swarm Optimization (PSO) algorithm, which called Multi Objective PSO (MOPSO) method. The proposed algorithm is based on multi objective meta-heuristics technique that evaluates a set of the Pareto solutions systematically and preserve the diversity of Pareto optimality by a crowding entropy diversity measure tactic. The crowding entropy strategy is able to measure the crowding degree of the solutions more accurately and efficentlly. The effectivness of the proposed method have been varified on two 6 and 15 units test systems with considered various demand for 24 hours. The numrical results demonstrates the capability of the proposed MOPSO approach to generate well distributed Pareto optimal non-dominated solutions of multi-objective DELD problem. The comparison with the recently reported results using Brent method reveals the superiority of the proposed MOPSO approach and confirms its potential for the solution of dynamic ELD problem in the real world power systems.