A comprehensive study of practical economic dispatch problems by a new hybrid evolutionary algorithm

Abstract

Economic Dispatch (ED) is the bare bone essential of power system operation and control from economic aspect point of view. In this paper, ED has been investigated from different points of view including power losses, emission, and generation cost. To this end, a multi-objective solution methodology and a fuzzy decision making strategy are implemented to find and sort the Pareto-optimal solutions. Yet another, this paper introduces a powerful, robust and hybrid configuration of evolutionary-based algorithm namely Fuzzy Based Hybrid Particle Swarm Optimization-Differential Evolution (FBHPSO-DE) algorithm for solving the proposed Multi-Objective ED (MOED) problem. The practical conditions including Multi-Fuels Operation (MFO), Valve-Point Effect (VPE) and Prohibited Operation Zones (POZs) are investigated in this study which makes the obtained results more practicable. The proposed algorithm is investigated on 10-unit, 40-unit, and 160-unit test systems in order to evaluate its capabilities. The obtained results are compared with the outcomes of other algorithms which proves the superiority of the proposed algorithm.