Solving Economic Dispatch Problem of Power Systems Using Hybrid IPSO- GSA

Abstract

This paper presents the method of solving economic dispatch problem of power systems using hybrid an improved of particle swarm optimization and a gravitational search algorithm (Hybrid IPSO-GSA), considering to fuel with a smooth cost function of generator in thermal energy type and consist of the generator limits operating also. The proposed methods are tested on 14 IEEE standard test system and 30 IEEE standard test system, then the simulated and analyses of the optimizing by MATLAB. From results are compared with the standard particle swarm optimization (PSO) and gravitational search algorithm (GSA) technique, the simulation results demonstrate the fuel cost less than 0.55 percentage for 14 IEEE bus and the fuel cost less than 2.09 percentage for 30 IEEE bus. The conclusions are an improved of particle swarm optimization with gravitational search algorithm based on improving the function of weight parameters can be deceasing fuel cost with better performance from previous method and satisfactory.