基于遗传算法的双输入电力系统稳定器

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI:10.1109/NigeriaComputConf45974.2019.8949663

Aliyu Usman, N. Magaji

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引用次数: 0

摘要

提出了一种单机无限母线发电机电力系统稳定器的新设计方法。分析了一种基于双输入遗传算法的电力系统稳定器(GAPSS4B)，与基于单输入遗传算法的电力系统稳定器(GAPSS)相比，它在不同运行点上的性能有所提高。利用遗传算法对GAPSS和GAPSS4B瞬态模型的波德图进行最小化，得到GAPSS和GAPSS4B的最优参数。在考虑系统参数不确定性的情况下，对基于单输入遗传算法的PSS (GAPSS)进行了评估。仿真结果表明，与单输入GAPSS相比，双输入GAPSS具有更好的性能。

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Genetic Algorithm Based Dual Input Power System Stabilizer

This study presents a new generator’s Power System Stabilizer design methodology of a single machine infinite bus. A dual input power system stabilizer genetic algorithm based (GAPSS4B) is analyzed, it performance is improved as compared to the single input genetic Algorithm based Stabilizer (GAPSS) over different operating points. The optimal parameters of both GAPSS and GAPSS4B are obtained by minimizing the bode plot of the transient model of SMIB with help of genetic algorithm (GA). The proposed technique is evaluated against the single input genetic algorithm based PSS (GAPSS) at a SMIB considering system parametric uncertainties. The simulation results shows that the proposed dual input GAPSS provides improved performance as compared to single input GAPSS.

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2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)

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