EQUAL PERCENTAGE SAVING BASED MULTIOBJECTIVE ECONOMIC LOAD DISPATCH USING PARTICLE SWARM OPTIMIZATION

Abstract

In this thesis, Multi-objective Economic Load Dispatch (MELD) considering Cost of generation and System transmission losses has been formulated using Priority Goal Programming (PGP). Equality constraint of the problem has been considered in the PGP formulation by inclusion of parameter K in the multiobjective function. The non-inferior set has been generated for IEEE 5, 14 and 30-bus systems using one of the intelligent optimization techniques, Particle Swarm Optimization (PSO) for the first time. Extensive trade off analysis has been carried out and an attempt has been made to achieve the Target Point based on equal percentage saving in both the objectives. A MATLAB program has been developed for Evolutionary Programming and Evolutionary Computation such as Particle Swarm Optimization (PSO) to solve economic load dispatch problem considering cost of generation and transmission losses.