ECONOMIC LOAD DISPATCH USING IMPROVED PARTICLE SWARM OPTIMIZATION

Abstract

Optimization is a mathematical tool to find the maximum or minimum of a function in some feasible region. There is no any industry which not involved the solution of optimization problems. In the operational planning of power system, Economic load dispatch (ELD) is a common task which concern with the optimization problems. The objective of ELD problem is to schedule the output of the connected units of the plant so as to fulfil the load demand at minimum operating cost while satisfying all operational constraints. Recently particle swarm optimization algorithm inspired by collective behaviour of swarm has been applied successfully to solve ELD problem. In this work three improved PSO algorithms- IPSO-A, IPSO-B and IPSO-C have been developed and implemented to solve ELD for IEEE 5, 14 and 30 bus systems. Conventional PSO (CPSO) using inertia weight and constriction factor individually as well as simultaneously have been also implemented to solve ELD problem. PSO algorithms have been compared for twenty trial runs. The best, worst, average and standard deviation cost for all the algorithms have been determined. The results show that proposed improved PSO techniques gives the optimum operational cost with consistent result.