Optimal Placement and Control of UPFC for Enhancement of Power System Performance Using Multi-objective θ-CPCE Algorithm

摘要

This paper addresses an optimal design for simultaneously locating unified power flow controller and tuning the parameters of its controllers to enhance the performance of the power system. A mixed integer nonlinear problem is acquired for the design procedure due to the characteristics of the considered objective functions. A new theta-hybrid particle swarm optimization-based co-evolutionary cultural algorithm called theta-culture-PSO-co-evolutionary (theta-CPCE) is used to solve this problem. The best Pareto-optimal solutions are also obtained by defining this problem as a multi-objective function. The simulations results on IEEE 39-bus power system show the effective performance of the proposed method as compared with other algorithms.