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基于海量数据的配电网运行分析系统架构与技术实现
作者:
作者单位:

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

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。

关键词:

基金项目:

国家重点研发计划资助项目(2017YFB0903000);北京市自然科学基金资助项目(3172039)。

通信作者:

作者简介:

张稳(1988—),女,博士研究生,主要研究方向:电力系统自动化、配电网风险评估与预警。E-mail:zhangwen_098@163.com
盛万兴(1965—),男,博士,教授级高级工程师,主要研究方向:电力系统自动化、可再生能源发电。E-mail:wxsheng@epri.sgcc.com.cn
杜松怀(1963—),男,通信作者,教授,主要研究方向:电力系统自动化、电力市场分析。E-mail:songhuaidu@cau.edu.cn


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

1.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China;2.China Electric Power Research Institute, Beijing 100192, China

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.

Keywords:

Foundation:
This work is supported by National Key R&D Program of China (No. 2017YFB0903000) and Beijing Municipal Natural Science Foundation (No. 3172039).
引用本文
[1]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(3):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(3):147-153. DOI:10.7500/AEPS20190520009.
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  • 收稿日期:2019-05-20
  • 最后修改日期:2019-08-19
  • 录用日期:
  • 在线发布日期: 2020-02-14
  • 出版日期:
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