Optimal GA-based PI control of SVC compensator improving voltage stability
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Abstract
In this paper, a genetic algorithm is used for the optimization and tuning of PI controller parameters in order to improve the performance of SVC compensator in both dynamic and static response. The efficiency of the proposed method has been studied successfully using a transmission line model with SVC compensator controller by PI regulator. Comparative study results between the conventional PI controller and that developed using genetic algorithm confirm that the proposed method can effectively improve simultaneously static and dynamic performances: steady state error '0.002 V instead of 0.2 V', response time '2 ms instead of 25 ms' and overshoot '0.84 V instead of 80.2 V'.
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