首页> 外文会议>International Conference on Intelligent Systems and Control >GA optimization of fuzzy logic controller for voltage sag improvement in power systems
【24h】

GA optimization of fuzzy logic controller for voltage sag improvement in power systems

机译:模糊逻辑控制器的遗传算法优化,以改善电力系统的电压暂降

获取原文

摘要

In this paper improvement in voltage sag by using GA optimized fuzzy controller is described. Dstatcom is the FACTS device used in voltage sag improvement. Genetic Algorithm(GA) is used to optimize the if then rules of the fuzzy controller. In this system a Dstatcom is placed in a three phase system to control the voltage sag. A fuzzy controller is designed to control the output of Dstatcom. The whole system is simulated using MATLAB Simulink. The fuzzy controlled Dstatcom output is compared with a PI controlled Dstatcom output. The system without Dstatcom is also simulated using MATLAB Simulink. The fuzzy controller rules are optimized using genetic algorithm and the results are also compared with other systems.
机译:本文介绍了通过使用GA优化的模糊控制器改善电压暂降的方法。 Dstatcom是用于电压骤降的FACTS设备。遗传算法(GA)用于优化模糊控制器的if规则。在该系统中,将Dstatcom放置在三相系统中以控制电压骤降。设计了模糊控制器来控制Dstatcom的输出。整个系统使用MATLAB Simulink进行仿真。将模糊控制的Dstatcom输出与PI控制的Dstatcom输出进行比较。不带Dstatcom的系统也使用MATLAB Simulink进行了仿真。使用遗传算法优化了模糊控制器规则,并将结果与​​其他系统进行了比较。

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