...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electric power systems research >Tuning fuzzy power-system stabilizers in multi-machine systems by global optimization algorithms based on efficient domain partitions
【24h】

Tuning fuzzy power-system stabilizers in multi-machine systems by global optimization algorithms based on efficient domain partitions

机译：基于有效域划分的全局优化算法优化多机系统中的模糊电力系统稳定器

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, the problem of global tuning of fuzzy power-system stabilizers (FPSSs) present in a multi-machine power system in order to damp the power system oscillations is considered. In particular, it is formulated as a problem of global minimization of a multiextremal black-box function over a multidimensional hyperinterval. A global optimization technique, recently proposed, is used for solving the stated problem: the search hyperinterval is partitioned into smaller hyperintervals and the objective function is evaluated only at two vertices corresponding to the main diagonal of the generated hyperintervals, thus avoiding unnecessary ponderous simulations. Then, the performances of this technique are numerically compared with ones of a genetic algorithm (GA).
机译：在本文中，考虑了为了抑制电力系统振荡而对多机电力系统中存在的模糊电力系统稳定器（FPSS）进行全局调整的问题。特别地，将其表述为在多维超区间上全局最小化黑盒函数的问题。最近提出了一种全局优化技术来解决上述问题：将搜索超间隔划分为较小的超间隔，并且仅在与生成的超间隔的主对角线相对应的两个顶点处评估目标函数，从而避免了不必要的繁琐模拟。然后，将该技术的性能与遗传算法（GA）进行数值比较。

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