中国电力 ›› 2017, Vol. 50 ›› Issue (10): 181-184.DOI: 10.11930/j.issn.1004-9649.20150116

• 技术经济 • 上一篇    

应用数据挖掘技术构建反窃电管理系统的研究

刘盛, 朱翠艳   

  1. 国网天津市电力公司宝坻供电分公司,天津 301800
  • 收稿日期:2015-01-16 出版日期:2017-10-25 发布日期:2017-10-30
  • 作者简介:刘盛(1987—),男,天津宝坻人,工程师,从事电力营销工作。E-mail: 234953036@qq.com

Application of Data Mining Technology to Build the Anti-Stealing Management System

LIU Sheng, ZHU Cuiyan   

  1. State Grid Tianjin Electric Power Company, Baodi Power Supply Company, Tianjin 301800, China
  • Received:2015-01-16 Online:2017-10-25 Published:2017-10-30

摘要: 目前的反窃电管理模式已经不能满足新形势下的反窃电管理需求,满足新形势下企业反窃电管理需求的强有力工具就是数据挖掘。提出了应用数据挖掘技术从电力企业积累的各种数据源系统中提取海量信息,构建具有资源共享和决策支撑功能的反窃电管理系统,介绍了系统的设计方案、数据处理、模型建立、技术实现等,分析了线损偏移度、电量差异度、电压电流不平衡度等用电负荷情况。

关键词: 电力系统, 智能电表, 数据挖掘技术, 反窃电, 管理系统

Abstract: The current anti-stealing management mode is unable to meet the needs of anti-stealing management under the new situation, and data mining is a powerful tool to meet the needs. Based on the accumulated various data source systems from power companies, extracting information using data mining techniques to build an anti-stealing management system, which shares resources and supports decisions, is proposed in this paper. The system design, data processing, modeling and technological realization are introduced, and the offset-degree of line-loss, difference degree of electricity, imbalance of voltage and current as well as other aspects are analyzed.

Key words: power system, smart meters, data mining techniques, electricity anti-stealing, management system

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