Application Of Mat-Heuristics Algorithm For Economic Load Dispatch Problem

Abstract

Economic load dispatch (ELD) is a process of finding optimal generation scheduling of available generators in an interconnected power system to meet the demand of the system, at lowest possible cost (fuel consumption), while satisfying various operational constraints on the system. The main aim of this thesis is to minimize the generator power production cost (water consumption) and to keep the power outputs of the generator within prescribed limit by using meta-heuristics technics like particle swarm optimization (PSO), artificial bee colony (ABC) and simulated annealing (SA) algorithm Optimization Techniques. And the algorithms will be tested on gibe III hydroelectric power plant. This optimization problem involves economically scheduling the generating units with some constraints like meeting total load demand and losses within the power generation limits. The algorithms presented in this thesis also consider the effect of loss formula coefficient (Bmn-coefficients) and these methods has been implemented using MATLAB software. Finally, the obtained solution quality and computation efficiency of these techniques are compared. And simulated annealing algorithm has better discharge consumption and computation time efficiency compared to the rest proposed technics.