Optimal Design of a Hybrid Solar -Wind-Diesel Power System for Rural Electrification Using Imperialist Competitive Algorithm

Abstract

In this paper, optimal design of a stand-alone hybrid solar- wind- diesel power generation system using Imperialist Competitive Algorithm, Particle swarm optimization and ant colony optimization is presented. The final goal of this paper is minimization of net present cost of hybrid system for lifetime of project ( here 20 years) considering by reliable supply of load and loss of power probability (LPSP) reliability index. In order to find out the least expenditure and best combination, the result of these algorithms compared together. Among these algorithms, the imperialist competitive algorithm is faster and more accurate than others and has more certain design in comparison to PSO and ACO algorithms. In this paper, first  the mathematical model of various parts of hybrid system is presented. Then the purposed algorithm is used. Finally, simulation results ( number of PV panels, number of wind turbines, number of battery storages, system total cost ,power diagram of hybrid power system components and reliability diagram) for solar-wind –diesel systems is presented.