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مجله بین المللی برق و amp; سیستم های انرژی
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  • multi-objective pid controller tuning for a facts-based damping stabilizer using non-dominated sorting genetic algorithm-ii

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    • تاریخ ارائه: 1393/01/01
    • تاریخ انتشار در تی پی بین: 1393/01/01
    • تعداد بازدید: 856
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     design of an optimal controller requires optimization of multiple performance measures that are often noncommensurable and competing with each other. design of such a controller is indeed a multi-objective optimization problem. non-dominated sorting in genetic algorithms-ii (nsga-ii) is a popular non-domination based genetic algorithm for solving multi-objective optimization problems. this paper investigates the application of nsga-ii technique for the tuning of a proportional integral derivate (pid) controller for a flexible ac transmission system (facts)-based stabilizer. the design objective is to improve the damping of power system when subjected to a disturbance with minimum control effort. the proposed technique is applied to generate pareto set of global optimal solutions to the given multi-objective optimization problem. further, a fuzzy-based membership value assignment method is employed to choose the best compromise solution from the obtained pareto solution set. simulation results are presented and compared with a conventionally designed pid controller under various loading conditions and disturbances to show the effectiveness and robustness of the proposed approach. finally, the proposed design approach is extended to a multi-machine power system to damp the modal oscillations with minimum control efforts.

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