Optimal Complex Economic Load Dispatch Solution Using Particle Swarm Optimization with Time Varying Acceleration Coefficient

The objective of the Economic Dispatch Problems (EDPs) of electric power generation is to schedule the committed generating units outputs so as to meet the required load demand at minimum operating cost while satisfying all units and system equality and inequality constraints. This article presents an efficient approach for solving economic load dispatch (ELD) problems in different test power systems using Particle Swarm Optimization with Time Varying Acceleration Coefficient (PSOTVAC). Accordingly, for practical operation, many realistic constraints as; ramp rate limits, generation limitation, prohibited operating zone, transmission loss and nonlinear cost functions are considered. Test results on the modified 6, 15 and 40 unit generating system indicate that ELD solutions by PSOTVAC can give less total generation costs than Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Hybrid GA and PSO (GA/PSO), Iteration PSO (IPSO) and Self Organizing Hierarchical PSO (SOH_PSO) methods. Copyright (C) 2012 Praise Worthy Prize Sr.l. - All rights reserved.