Coordination control between PSS and SVC based on improved genatic - tabu hybrid algorithm

In power system stability research, the coordinated control between PSS and FACTS is an important problem. The usually method is to apply genetic algorithm (GA) to optimize the parameters of them. The traditional GA has the merits of parallel algorithm, strong ability of global searching and sample programming. However, its hill-climbing ability is weak, and easily be convergence earier. Tabu search (ES) algorithm uses a flexible memory of search history to prevent cycling and to avoid entrapment in local optima. It has been shown that, under certain conditions, the TS algorithm can find global optimal solution. But the fatal fault of it is that the solution seriously depends on the initial condition. In order to eliminating the shortcomings of GA and TS, an improved genetic-tabu hybrid algorithm is proposed in the paper. The algorithm synthesizes the global search ability of GA and local optimization ability of TS, so improve the convergence and search rate. Simulation results show that the proposed control scheme provides good damping of electromechanical modes of oscillations and enhances power system stability with power angle and voltage.