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Simultaneous tuning of a PSS and SVC based damping controllers employing NSGA-II for Power system stability problem

机译:同时调整采用NSGA-II的基于PSS和SVC的阻尼控制器,以解决电力系统稳定性问题

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摘要

In recent years power system stability problem is playing a vital role in the research technologies. Improvement of power-system stability by simultaneous tuning of power system stabilizer (PSS) and a static var compensator (SVC) based damping controller is properly investigated in this paper. The design problem of the proposed controller is formulated as an optimization problem, and initially a single objective type differential evolution (DE) algorithm is employed and then a multi objective type Non dominated Shorting Genetic Algorithm-II(NSGA-II) is applied to search for the optimal controller parameters. The performances of the proposed controllers are evaluated under different loading conditions for single-machine infinite bus power system. The proposed stabilizers can be tested on a weekly connected power system by using three phase disturbances and various loading conditions. The effectiveness and robustness of the proposed control schemes over a wide range of loading conditions are visualized through nonlinear simulation results.
机译:近年来,电力系统稳定性问题在研究技术中起着至关重要的作用。通过同时调整电力系统稳定器(PSS)和基于静态无功补偿器(SVC)的阻尼控制器来改善电力系统的稳定性,本文进行了适当的研究。将提出的控制器的设计问题表述为优化问题,首先采用单目标类型差分进化(DE)算法,然后将多目标类型非支配短路遗传算法-II(NSGA-II)进行搜索。以获得最佳控制器参数。在单机无限母线电力系统的不同负载条件下,对所提出的控制器的性能进行了评估。可以通过使用三相干扰和各种负载条件,在每周连接的电源系统上对建议的稳定器进行测试。通过非线性仿真结果,可以看到所提出的控制方案在各种负载条件下的有效性和鲁棒性。

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