基于网络树状图的低压配电网故障研判仿真分析
CSTR:
作者:
作者单位:

(1.国网天津市电力公司城东供电分公司,天津 300250;2.国网天津市电力公司电力科学研究院,天津 300384; 3.上海理工大学机械工程学院,上海 200093)

作者简介:

魏 然(1976—),男,本科,研究方向为智能配电网;E-mail: ran.wei@tj.sgcc.com.cn 张 磐(1983—),男,硕士研究生,研究方向为智能配电网和智能变电站技术;E-mail: pan.zhang@tj.sgcc.com.cn 高强伟(1985—),男,硕士研究生,研究方向为智能配电网。E-mail: qiangwei.gao@tj.sgcc.com.cn

通讯作者:

中图分类号:

基金项目:

国家电网有限公司科技项目资助(KJ19-1-11)


Simulation analysis of low-voltage distribution network fault diagnosis based on tree structure diagram
Author:
Affiliation:

(1. Chengdong Power Supply Branch, State Grid Tianjin Electric Power Company, Tianjin 300250, China; 2. State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China; 3. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    智能化设备在低压配电网中的普及,为实现低压配电网故障的实时研判与主动抢修提供了新的研究方向。首先分析故障研判的信息来源及其校验方法,利用树状图描述低压台区的拓扑结构,并以此为基础提出主动故障研判的流程。然后运用模糊集理论分析部分设备运行状态信息缺失时的故障研判。最后基于PSCAD搭建涵盖中压馈线、低压配变、低压分支箱、终端用户等关键环节的仿真模型,根据研判流程设计控制模块,通过仿真结果验证该方案的可行性和有效性。

    Abstract:

    The popularization of intelligent equipment in the low-voltage distribution network provides a new research direction for real-time diagnosis and initiative rush repair of low-voltage distribution network faults. First, the information source of fault diagnosis and verification method are analyzed. Secondly, tree structure diagram is used to describe the topological structure of the low-voltage courts. And an active fault diagnosis process is proposed. Then, the fuzzy set theory is used when some equipment running state information is missing. Finally, based on PSCAD, the simulation model including the key links such as medium-voltage feeder, low-voltage distribution transformer, low-voltage branch box and end-user is built. The control module is designed according to the research process, and the feasibility and effectiveness of the scheme are verified through simulation results. This work is supported by the Science and Technology Project of State Grid Corporation of China (No. KJ19-1-11).

    参考文献
    相似文献
    引证文献
引用本文

魏 然,张 磐,高强伟,等.基于网络树状图的低压配电网故障研判仿真分析[J].电力系统保护与控制,2021,49(13):167-173.[WEI Ran, ZHANG Pan, GAO Qiangwei, et al. Simulation analysis of low-voltage distribution network fault diagnosis based on tree structure diagram[J]. Power System Protection and Control,2021,V49(13):167-173]

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2020-09-09
  • 最后修改日期:2020-12-30
  • 录用日期:
  • 在线发布日期: 2021-07-01
  • 出版日期:
文章二维码