ECONOMIC LOAD DISPATCH STUDIES BASED ON PSO

Abstract

In this project, an Improved PSO algorithm has been developed to solve economic load dispatch problem. In the Proposed PSO algorithm, Retardation factor has been introduced to damp out the oscillations as the particle reaches near the global optimum point. This results in faster convergence as well as lesser cost of generation. The proposed algorithm has been implemented on unconstrained mathematical test functions to check the accuracy and convergence of the algorithm. The Proposed PSO algorithm is implemented on IEEE three and six generator thermal power plants. In the case of mathematical test functions, the comparison is done in terms of the number of iterations performed and the number of function evaluations. In case of an economic load dispatch problem, the comparison is done in terms of fuel cost of generation also. After comparing results in both cases, it is found that the proposed PSO algorithm gives more accurate results in less number of iterations. Number of iterations, number of function evaluations, and time consumed have been measured for different values of retardation factors. Best retardation is the one for which function gets optimized in minimum number of iterations. MATLAB simulation is done to solve the economic load dispatch problem and mathematical test function using Proposed algorithm and Basic particle swarm optimization algorithm.