Optimization of SMES and TCSC using particle swarm optimization for oscillation mitigation in a multi machines power system

D. Lastomo, H. Setiadi, M. Djalal
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引用次数: 21

Abstract

Due to the uncertainty of load demand, the stability of power system becomes more insecure. Small signal stability or low-frequency oscillation is one of stability issues which correspond to power transmission between interconnected power systems. To enhance the small signal stability, an additional controller such as energy storage and flexible AC transmission system (FACTS) devices become inevitable. This paper investigates the application of superconducting magnetic energy storage (SMES) and thyristor controlled series compensator (TCSC) to mitigate oscillation in a power system. To get the best parameter values of SMES and TCSC, particle swarm optimization (PSO) is used. The performance of the power system equipped with SMES and TCSC was analyzed through time domain simulations. Three machines (whose power ratings are 71.641, 163, and 85 MW) nine buses power system was used for simulation. From the simulation results, it is concluded that SMES and TCSC can mitigate oscillatory condition on the power system especially in lowering the maximum overshoot up to 0.005 pu in this case. It was also approved that PSO can be used to obtain the optimal parameter of SMES and TCSC.
基于粒子群优化的多机电力系统中SMES和TCSC的减振优化
由于负荷需求的不确定性,电力系统的稳定性变得更加不安全。小信号稳定性或低频振荡是与互联电力系统之间的电力传输相对应的稳定性问题之一。为了提高小信号的稳定性,不可避免地需要额外的控制器,如储能器和柔性交流输电系统(FACTS)设备。本文研究了超导磁储能(SMES)和晶闸管控制串联补偿器(TCSC)在缓解电力系统振荡中的应用。为了获得SMES和TCSC的最佳参数值,使用粒子群优化(PSO)。通过时域仿真分析了SMES和TCSC供电系统的性能。使用三台机器(额定功率分别为71.641、163和85MW)的九母线电力系统进行仿真。从仿真结果可以得出结论,SMES和TCSC可以缓解电力系统的振荡条件,特别是在这种情况下,可以将最大过冲降低到0.005pu。PSO算法可用于获得SMES和TCSC的最优参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
0.70
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10
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