...
首页> 外文期刊>International Journal of Modern Nonlinear Theory and Application >Improvement of Power System Stability by Static Var Compensator and Tuning Employing Genetic Algorithm
【24h】

Improvement of Power System Stability by Static Var Compensator and Tuning Employing Genetic Algorithm

机译:静态无功补偿器和遗传算法整定提高电力系统的稳定性

获取原文

摘要

The use of power systems as close to their operating limits can cause instability if a disturbance is occurred. The damping of the system’s oscillations can be obtained by conventional means such as voltage and speed regulation but also by Flexible AC Transmission System devices (FACTS). These devices are increasingly used in power systems. This paper presents a systematic procedure for modelling and simulation of a single-machine infinite-bus power system installed with a Static VAR Compensator (SVC). So the impact of the SVC on power system stability can be reasonably evaluated. Genetic algorithm (GA) optimization technique is applied to design robust power system stabilizer and SVC-controllers for single-machine infinite-bus (SMIB) and is employed to search for optimal controller parameters.
机译:如果发生干扰,使用接近其运行极限的电源系统可能会导致不稳定。可以通过常规方法(例如电压和速度调节)来获得系统振荡的阻尼,也可以通过柔性AC传输系统设备(FACTS)获得。这些设备越来越多地用于电力系统。本文介绍了一个系统过程,该过程用于对装有静态VAR补偿器(SVC)的单机无限母线电力系统进行建模和仿真。因此,可以合理地评估SVC对电力系统稳定性的影响。遗传算法(GA)优化技术被用于设计用于单机无限母线(SMIB)的鲁棒电力系统稳定器和SVC控制器,并用于搜索最优控制器参数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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