首页> 外文OA文献 >Optimization of SMES and TCSC Using Particle Swarm Optimization for Oscillation Mitigation in a Multi Machines Power System
【2h】

Optimization of SMES and TCSC Using Particle Swarm Optimization for Oscillation Mitigation in a Multi Machines Power System

机译:使用粒子群算法优化SMES和TCSC的多机动力系统中的振动缓解

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

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.
机译:由于负载需求的不确定性,电力系统的稳定性变得更加不稳定。小信号稳定性或低频振荡是与互连的电力系统之间的电力传输相对应的稳定性问题之一。为了增强小信号的稳定性,诸如能量存储和灵活的AC传输系统(FACTS)设备之类的附加控制器已成为必然。本文研究了超导磁能存储(SMES)和晶闸管控制的串联补偿器(TCSC)在减轻电力系统中的振荡中的应用。为了获得SMES和TCSC的最佳参数值,使用了粒子群优化(PSO)。通过时域仿真分析了装有SMES和TCSC的电力系统的性能。仿真使用了三台机器(其额定功率分别为71.641、163和85 MW)九总线功率系统。从仿真结果可以得出结论,在这种情况下,SMES和TCSC可以减轻电力系统的振荡条件,特别是在将最大过冲降低至0.005 pu的情况下。还批准了PSO可用于获得SMES和TCSC的最佳参数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号