Solving Economic Load Dispatch Using WI-PSO

Abstract

This paper presents a weight improved particle swarm optimization (WIPSO) algorithm to solve economic load dispatch problem of fossil fuel generating plants. The proposed methodology takes care of economic dispatch problems considering constraints such as power balance loading, ramp rate limits and generating limit. Particle swarm optimization is a population based technique that can be applied to a wide range of engineering problems. Particle swarm optimization with a weight improved-search strategy called WIPSO, enhances the ability of particles to explore the solution spaces more effectively and increases their convergence rate.To demonstrate the qualitiveness and effectiveness of the proposed approach, a test system consisting of three-unit generating unit, within co-orporation of power balance constraints, operating limits and ramp rate limits are taken into account.. The current proposal reveals the effectiveness and robustness as compared to other heuristic algorithms reported in literature Keywords: Economic load Dispatch (ELD), Weight improved particle swarm optimization (WIPSO), Valve point effect, Ramp Rate Limits. In this paper, the WIPSO is proposed for solving economic load dispatch (ELD) problem. The proposed WIPSO is an improvement of particle swarm optimization method with weight improvement parameter for better optimal solution and faster computation. The proposed algorithm has the ability to explore the solution space than in a standard PSO. This method focuses on solving the economic load dispatch with valve point loading effect and generator ramp rate limits constraint. The feasibility of the proposed method demonstrated for the test data of three generator system. The result obtained through the proposed approach is compared with other PSO techniques reported in recent literatures. .