Economic Dispatch of Power Systems using Hybrid Particle Swarm Algorithm based on Sin-Cos Accleration Coefficient

Abstract: Distribution economic burden in power system is one of the important and essential issues in power plant production planning. This thesis presents the economic burden for generating power plants with smooth and uneven functions and considering the constraints of the power plant (steam valve, forbidden areas, with and without transmission losses) in a multi-generator power system. The goal is to achieve the best production cost and minimize losses. For this purpose, a hybrid particle swarm algorithm based on sine and cosine acceleration coefficients is used to solve the problem. A comprehensive analysis of how to distribute the economic burden to optimize production costs and minimize losses is provided. The proposed method is implemented on a power system of 15and 40 IEEE standard generators. The constructs illustrate the accuracy and efficiency of the proposed method.