Optimal Placement of Wind Farms for Improving Power Systems Security using Particle Swarm Optimization and Monte Carlo Simulation

One common problem in power systems is contingencies. Since the system is likely to enter an emergency condition, the various possible failures likely to occur in a system should be evaluated and ranked beforehand and the necessary measures should be accordingly taken so as to cope with such upcoming conditions by the system operator. According to the today’s increase in the use of renewable energies in power systems, a solution that can play a considerable part in reducing the adverse effects of such failures is the purposive use of such production entities for improving the power system security. Thus, the present study deals with the investigation of the methods of maximizing wind farms and their optimal location effects on the improvement of the post-contingency conditions of the system. Meanwhile taking the wind farms’ production power into consideration, the current research tries to find the best location for wind farms in such a manner that they could exert the largest effect on improving the system security. To do so, Particle Swarm Optimization (PSO) algorithm and Monte Carlo Simulation (MCS) using MATLAB are applied and the proposed method has been tested on IEEE-RTS and the numerical results have been analyzed.