Research on the method of transformer⁃meter relationship verification based on data⁃driven
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(1. Jiangsu Frontier Electric Technology Co., Ltd., Nanjing 211100, China;2. Electric Power Research Institute,State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China;3.College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

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This work is supported by Science and Technology Projectof Jiangsu Frontier Electric Technology Co., Ltd.(No.0FW-18553-WF)

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    Abstract:

    The continuous development of the economy has made the scale of the lowvoltage distribution network increasingly large, but at the same time exposes some problems in the management of the line loss in the transformer areas. The fault of transformermeter relationship in transformer areas is one of the main causes of abnormal line loss. In order to make up for the shortcomings of maintenance personnel who need to check the methods of all users on a casebycase basis, a datadriven method for verifying the transformermeter relationship of the district is proposed. The model uses the historical data of power supply and power consumption in the transformer area, and optimizes the daily line loss rate of the transformer area as the optimization target, and adopts the method of rolling optimization under the longterm scale, and finally gives the user who is suspected to have a transformer meter relationship error.Finally, by using two actual case studies, the result shows that the model can give a set of users with suspected file errors, and realizes the efficiency of the transformermeter relationship verification.

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李 平,吴伟将,严永辉,徐 博,刘 飞,王瑾然.基于数据驱动的台区户-变关系核查方法研究[J].电力需求侧管理英文版,2020,22(1):64-68.

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History
  • Received:August 16,2019
  • Revised:November 30,2019
  • Adopted:
  • Online: January 21,2020
  • Published:
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