首页> 外文会议>International Middle East Power Systems Conference >Application of different optimization techniques to load frequency control in a multi-area system
【24h】

Application of different optimization techniques to load frequency control in a multi-area system

机译:不同优化技术在多区域系统负载频率控制中的应用

获取原文

摘要

Nowadays a large power system usually comprises of small interconnected power systems each one is called an area so large power system is called a multi area system. Each area is connected to the other one by a tie line. During load change in one area, the frequency and the tie line power of the whole system deviate from the nominal values. The purpose is to get the best performance of the deviations using designed controllers. Proportional-Integral-Derivative (PID) controller & Proportional-Integral-Derivative and Acceleration (PIDA) controller are the two controllers used and three optimization techniques are applied to optimize the controllers' parameters. The optimization techniques used are Teaching-Learning-Based-Optimization (TLBO), Harmony Search Algorithm (HS) and Sine-Cosine Algorithm (SCA). Results are obtained and Comparison is done between the two controllers and between the three optimization techniques as will be reviewed in the paper.
机译:如今,大型电力系统通常由小型互连电力系统组成,每个小型电力系统都称为一个区域,因此大型电力系统称为多区域系统。每个区域通过连接线连接到另一个区域。在一个区域内改变负载时,整个系统的频率和联络线功率会偏离标称值。目的是使用设计的控制器来获得最佳的偏差性能。比例积分微分(PID)控制器和比例积分微分与加速度(PIDA)控制器是所使用的两个控制器,并应用了三种优化技术来优化控制器的参数。使用的优化技术是基于教学学习的优化(TLBO),和声搜索算法(HS)和正弦余弦算法(SCA)。获得了结果,并且在两个控制器之间以及在三种优化技术之间进行了比较,这将在本文中进行回顾。

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