Architecture and Technology Implementation of Massive Data Based Distribution Network Operation Analysis System

Wen ZHANG; Wanxing SHENG; Songhuai DU; Dongli JIA; Tianyuan KANG

doi:10.7500/AEPS20190520009

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Architecture and Technology Implementation of Massive Data Based Distribution Network Operation Analysis System

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

- Architecture and Technology Implementation of Massive Data Based Distribution Network Operation Analysis System
- Automation of Electric Power Systems Vol. 44, Issue 3, Pages: 147-153(2020)
- 作者机构：
  
  1. 中国农业大学信息与电气工程学院，北京市 100083
  2. 中国电力科学研究院有限公司，北京市 100192
- 作者简介：
- 基金信息：
  
  National Key R&D Program of China;Beijing Municipal Natural Science Foundation
- DOI：10.7500/AEPS20190520009
  CLC：
- Received：20 May 2019，
  
  Revised：2019-08-19，
  
  Published Online：04 December 2019，
  
  Published：25 March 2020
- 稿件说明：
移动端阅览
张稳,盛万兴,杜松怀等.基于海量数据的配电网运行分析系统架构与技术实现[J].电力系统自动化,2020,44(03):147-153.

ZHANG Wen,SHENG Wanxing,DU Songhuai,et al.Architecture and Technology Implementation of Massive Data Based Distribution Network Operation Analysis System[J].Automation of Electric Power Systems,2020,44(03):147-153.
张稳,盛万兴,杜松怀等.基于海量数据的配电网运行分析系统架构与技术实现[J].电力系统自动化,2020,44(03):147-153. DOI： 10.7500/AEPS20190520009.

ZHANG Wen,SHENG Wanxing,DU Songhuai,et al.Architecture and Technology Implementation of Massive Data Based Distribution Network Operation Analysis System[J].Automation of Electric Power Systems,2020,44(03):147-153. DOI： 10.7500/AEPS20190520009.

摘要

灵活地分析和运用配电网多源异构数据，进行配电网故障的准确预测和潜在风险扫描，对实现配电网高效精准的运行分析决策很有意义。文中介绍了一种基于海量数据的配电网运行分析系统的整体架构和功能设计，通过应用实例展示了系统各模块的功能和运行分析结果。该系统集成电网地理信息、营销业务应用和配电自动化等系统数据，采用改进的机器学习算法和薄弱点辨识方法，扩展了目标配电网数据相关性分析、故障风险等级预测和薄弱点辨识的功能，有利于相关部门有针对性地提出相应技术和管理手段进行配电网运维检修工作，提高了现有配电网分析系统的科学性和实用性，为最终实现配电网运行分析的信息化、智能化、精益化奠定了基础。

Abstract

Accurate faults prediction and potential risk scanning of distribution network through flexible analysis and application of multi-source heterogeneous data are meaningful to realize efficient and accurate operation analysis decision of distribution network. The overall structure and function design of a distribution network operation analysis system based on mass data are introduced

and the functions and analysis results of each module are demonstrated by an application example. The system integrates data such as geographic information system (GIS)

marketing business application and distribution automation. By using improved machine learning algorithm and weak point identification method

the functions of data correlation analysis

fault risk level prediction and weak point identification of target distribution network are extended. It is beneficial for relevant departments to propose corresponding technologies and management methods to carry out the operation and maintenance of distribution network

improve the scientific and practicality of the existing distribution network analysis system

and ultimately lay the foundation for the informatization

intellectualization and leanization of distribution network operation analysis.

关键词

Keywords

references

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