...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electric power systems research >A new approach for probabilistic harmonic load flow in distribution systems based on data clustering
【24h】

A new approach for probabilistic harmonic load flow in distribution systems based on data clustering

机译：基于数据聚类的配电系统概率谐波潮流的新方法

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

Due to the ever-increasing use of non-linear loads and their undesired effects on distribution systems operation, harmonic analysis should be taken into consideration. On the other hand, the probabilistic nature of power systems makes it necessary to consider the harmonic analysis in a probabilistic environment. In this paper, a data clustering based algorithm is used for probabilistic assessment of harmonic load flow, for the first time. Despite the previous probabilistic harmonic load flow (PHLF), in which uncertainties are considered on grid connected renewable generations, load demands, generators, transmission lines probable failure, etc., this paper considers uncertainties on the location and non-linear load portion of nodal loads. Moreover, an organized PHLF algorithm is formulated in this paper. In order to show the superior abilities of the proposed method, the method is applied on the IEEE 37 node test system and the results are compared by the Monte Carlo simulation (MCS) method.
机译：由于非线性负载的使用不断增加，并且它们对配电系统的运行产生了不良影响，因此应考虑谐波分析。另一方面，电力系统的概率性质使得有必要考虑概率环境中的谐波分析。本文首次将基于数据聚类的算法用于谐波潮流的概率评估。尽管先前有概率谐波潮流（PHLF），其中考虑了并网可再生发电，负载需求，发电机，输电线路可能发生故障等方面的不确定性，但本文还是考虑了节点的位置和非线性负载部分的不确定性负载。此外，本文提出了一种有组织的PHLF算法。为了显示该方法的优越性能，将该方法应用于IEEE 37节点测试系统，并通过蒙特卡洛仿真（MCS）方法对结果进行了比较。

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