A COMPARATIVE STUDY OF ECONOMIC LOAD DISPATCH PROBLEM USING DIFFERENT INERTIA WEIGHTS OF PSO

Abstract

In this thesis, comparison of different inertia weights is taken into account to analyse the performance of PARTICLEUSWARM OPTIMIZATION on Economic load dispatchHconsidering the cost of the generation. Equality constraints of the problem have been considered with the inclusion of a new parameter ‘k’. Comparative analysis suggests that the use of simulated annealing procedure for the variation in inertia weight in the algorithm of PSO significantly improves the performance with lesser number of iterations. The data sets being used have been generated for IEEE 5 , 14 and 30 busHsystem using Particle swarm optimization method. An attempt has been made to reach the target point in lesser number of iterations and with minimum cost of generation. A MATLAB program has been developed for ParticleKSwarm Optimization (PSO) method to solve economicKload dispatch problem considering cost of generation. All different inertia weight functions have been implemented on ECONOMIC LOAD DISPATCH problem to get the optimum value of cost of generation with lesser number of iterations.