Function Design of Power Outage Information Resource Pool for Provincial Distribution Automation Main Station

Hua LENG; Yulin QIAN; Jiran ZHU; Haiguo TANG; Weiwei ZHANG; Haiwen ZHANG

doi:10.7500/AEPS20190529007

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Function Design of Power Outage Information Resource Pool for Provincial Distribution Automation Main Station

Application Research | 更新时间：2025-06-16

- Function Design of Power Outage Information Resource Pool for Provincial Distribution Automation Main Station
- Automation of Electric Power Systems Vol. 44, Issue 13, Pages: 150-156(2020)
- 作者机构：
  
  1. 湖南大学电气与信息工程学院，湖南省长沙市 410082
  2. 南瑞集团有限公司（国网电力科学研究院有限公司），江苏省南京市 211106
  3. 国网湖南省电力有限公司电力科学研究院，湖南省长沙市 410004
  4. 国网湖南省电力有限公司永州供电分公司，湖南省永州市 425000
  5. 国网湖南省电力有限公司,湖南省长沙市 410003
- 作者简介：
- 基金信息：
  
  State Grid Corporation of China
- DOI：10.7500/AEPS20190529007
  CLC：
- Received：29 May 2019，
  
  Revised：2019-11-07，
  
  Published Online：22 May 2020，
  
  Published：10 July 2020
- 稿件说明：
移动端阅览
冷华,钱玉麟,朱吉然等.省级配电自动化主站的停电信息资源池功能设计[J].电力系统自动化,2020,44(13):150-156.

LENG Hua,QIAN Yulin,ZHU Jiran,et al.Function Design of Power Outage Information Resource Pool for Provincial Distribution Automation Main Station[J].Automation of Electric Power Systems,2020,44(13):150-156.
冷华,钱玉麟,朱吉然等.省级配电自动化主站的停电信息资源池功能设计[J].电力系统自动化,2020,44(13):150-156. DOI： 10.7500/AEPS20190529007.

LENG Hua,QIAN Yulin,ZHU Jiran,et al.Function Design of Power Outage Information Resource Pool for Provincial Distribution Automation Main Station[J].Automation of Electric Power Systems,2020,44(13):150-156. DOI： 10.7500/AEPS20190529007.

摘要

各地配电自动化建设尚处于大规模试点阶段，很多区域的故障信息感知和定位手段有限，不同性质的停电事件信息又来源于多个业务系统，在条件有限的情况下实现停电事件精准分析的需求尤为迫切。文中结合电力公司的停电管理实际业务流程，设计停电信息资源池功能，综合分析变电站、馈线、台区、用户多层主网和配电网数据，在分层分级研判基础上建立信号可信度模型。结合DS证据理论算法融合分析，多维度灵活地挖掘分析停电事件，提高故障点定位的容错性

满足在差异化场景下构建可靠的结构化停电信息资源池实现数据的共享发布。

Abstract

The construction of distribution automation is still in a large-scale pilot stage. In many areas

the means of fault information perception and location are limited. The information of different power outage events come from multiple business systems. It is particularly urgent to achieve accurate analysis of power outage events under limited conditions. Combining with the actual business process of power outage management of the electric utilities

this paper designs the function of power outage information resource pool

comprehensively analyzes the data of multi-layer main network and distribution network of substations

feeders

distribution transformer areas and users

and establishes the signal credibility model on the basis of hierarchical study and judgment. Combining fusion analysis of DS evidence theory algorithm

multi-dimensional flexible mining and analysis of power outage events

the fault tolerance of fault location is improved

and a reliable structured power outage information resource pool is built to achieve data sharing and publishing in different scenarios.

关键词

Keywords

references

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