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文章摘要
基于运行扰动数据分析的低压台区拓扑辨识方法研究
Research on topology identification method of low-voltage station based on operational disturbance data analysis
Received:December 01, 2020  Revised:December 15, 2020
DOI:10.19753/j.issn1001-1390.2024.03.008
中文关键词: 电流扰动  改进灰色关联分析  台区拓扑识别  测量终端
英文关键词: current disturbance, the improved grey correlation analysis, topological identification of the station, measuring terminal
基金项目:国家自然科学基金(51777126)
Author NameAffiliationE-mail
ZHANG Pan State Grid Tianjin Electric Power Research Institute 1383865820@qq.com 
HUANG Xu Chengdong Power Supply Branch, State Grid Tianjin Electric Power Company zyq0698@163.com 
GAO Qiangwei Chengdong Power Supply Branch, State Grid Tianjin Electric Power Company 1694074749@qq.com 
ZHU Cong* School of Mechanical Engineering,University of Shanghai for Science and Technology 1027723960@qq.com 
HUANG Fuquan School of Mechanical Engineering,University of Shanghai for Science and Technology 1156026591@qq.com 
SUN Weiqing School of Mechanical Engineering,University of Shanghai for Science and Technology sidswq@163.com 
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中文摘要:
      传统的低压台区拓扑识别方法具有精确度低、抗干扰能力差、效率低等一系列问题。针对上述问题,提出一种基于电流运行扰动数据的台区拓扑辨识方法。利用改进的灰色关联分析法对测量终端采集的低压出线柜、分支箱、光力柜、表箱的电流扰动数据进行分析,计算低压台区不同部分数据的相关性,实现台区供电隶属关系识别。通过电流确定台区中各部分的进出线连接关系,实现对台区拓扑的识别。算例结果表明,利用电流扰动数据进行台区拓扑辨识具有准确度高、效率高的特点,因此在实际应用中更具价值与潜力。
英文摘要:
      The traditional topology identification method low-voltage station has a series of problems, such as low accuracy, poor anti-interference ability, and low efficiency. To solve the above problems, a topology identification method based on current operation disturbance data is proposed in this paper. The improved grey correlation analysis method is used to analyze the current disturbance data of low-voltage outgoing cabinet, branch box, optical power cabinet and meter box collected by the measuring terminal, and calculate the data correlation of different parts of the low-voltage station area, so as to realize the identification of power supply subordination relationship in the substation area. The connection relationship between the incoming and outgoing lines of each part of the station area is determined by the current, and the topology of the station area is identified. The example results show that the topology identification using current disturbance data has the characteristics of high accuracy and high calculation efficiency, so it has more value and potential in practical application.
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