Abstract
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 θ-hybrid particle swarm optimization-based co-evolutionary cultural algorithm called θ-culture-PSO-co-evolutionary (θ-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.
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