华电技术 ›› 2021, Vol. 43 ›› Issue (1): 19-23.doi: 10.3969/j.issn.1674-1951.2021.01.004

• 物联网与配电智能化 • 上一篇    下一篇

基于物联网的台区线损指标闭环管控

苏宇1(), 周川1(), 王强钢2()   

  1. 1.国网重庆市电力公司营销服务中心(计量中心),重庆 401123
    2.重庆大学 输配电装备及系统安全与新技术国家重点实验室,重庆 400044
  • 收稿日期:2020-08-31 修回日期:2020-12-30 出版日期:2021-01-25 发布日期:2021-02-01
  • 作者简介:苏宇(1994—),女,重庆人,助理工程师,从事电力营销工作(E-mail:415397022@qq.com)。|中文作者简介:周川(1990—),男,重庆人,工程师,从事电力营销工作(E-mail:675455570@qq.com)。|王强钢(1987—),男,福建晋江人,副教授,工学博士,从事新能源发电、微网建模分析和运行控制领域的教学和研究工作(E-mail:qianggang1987@cqu.edu.cn)。
  • 基金资助:
    国家自然科学基金项目(51607015)

Closed-loop management on line loss indicators in a transformer area based on IoT

SU Yu1(), ZHOU Chuan1(), WANG Qianggang2()   

  1. 1. State Grid Chongqing Electric Power Company Marketing Service Center(Metering Center),Chongqing 401123,China
    2. Chongqing University State Key Laboratory of Power Transmission Equipment and System Safety and New Technology,Chongqing 400044,China
  • Received:2020-08-31 Revised:2020-12-30 Online:2021-01-25 Published:2021-02-01

摘要:

物联网技术能够对所连接物品进行辨识、管理和控制,将其应用在台区线损管控领域,探索线损管控新模式,可以科学指导企业降损。基于物联网技术,融合用电信息采集系统、营销业务应用系统、营销地理信息系统(GIS)和国网设备运维精益管理系统(PMS2.0)数据,研究台区线损率合理区间计算模型和台区线损率合格判断模型,建立了基于物联网的台区线损指标管控系统。实现了台区线损指标监控和线损异常台区的闭环管控,为台区线损提供了科学有效的降损空间指导,也为工作人员开展异常台区现场处理提供支持。

关键词: 台区线损, 物联网, 闭环管控, BP神经网络, 模糊评价

Abstract:

Internet of Things(IoT) can identify,manage,and control the connected objects.Applying this technology in line loss management and exploring new line loss management model can reduce line loss scientifically.Thus,by integrating power consumption data collection system,marketing system,marketing GIS(geographic information system)and PMS2.0 system,a reasonable interval calculation model and a qualified rate judgment model of line loss in a transformer area were studied based on IoT,and then a line loss indicator management system based on IoT was established.This system realizes closed-loop management on line loss indicators in a transformer area,and provides scientific guidance for line loss reduction and support for the personnel making on-site troubleshooting.

Key words: line loss in a distribution area, Internet of Things, closed-loop management and control, BP neural network, fuzzy evaluation

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