摘要
针对人工检查低压配电网拓扑关系带来的管理难度和成本高的问题,本研究分别在时域和频域上比较了皮尔逊相关系数和灰色关联分析,提出了一种实用的配电线路拓扑异常检查方法,该方法利用从数据采集与监控系统和电力信息采集系统获得的配电数据,使用皮尔逊相关系数来判断用户电压序列曲线的相似性,采用灰色关联法对用户样本集进行分析,对中间节点的电压变化确定了下游节点的异常位置,发现识别出站区标识错误的用户;根据实验验证的结果,与灰色关联分析法相比,皮尔逊相关系数不具有良好的鲁棒性,而且会增加误判的次数,采用频域相似度的灰色关联分析法得到配电线路拓扑校验准确率达到99.9%,十分适用可靠。
In view of the management difficulty and high cost caused by manual inspection of low-voltage distribution network topology,this paper compares the Pearson correlation coefficient and gray correlation analysis in the time domain and frequency domain,and proposes a practical distribution line topology anomaly inspection method.This method uses the distribution data obtained from the data acquisition and monitoring system and the power information acquisition system,uses the Pearson correlation coefficient to judge the similarity of the user voltage sequence curve,and uses the gray correlation method to analyze the user sample set,The voltage change of the intermediate node determined the abnormal position of the downstream node,and the user with the wrong station identification was found.According to the experimental verification results,compared with the gray correlation analysis method,the Pearson correlation coefficient does not have good robustness and will increase the number of misjudgments.The gray correlation analysis method of frequency domain similarity is used to obtain the distribution line topology verification.The accuracy rate reaches 99.9%,which is very applicable and reliable.
作者
吴宗兵
董冉昊
廖苏
张世权
WU Zongbing;Dong Ranhao;LIAO Su;ZHANG Shiquan(State Grid Anhui Electric Power Company Chuzhou Power Supply Company,Chuzhou 239000,China;Hubei Chongguang Electric Co.,Ltd,Wuhan 437000,China;Guangzhou HOKO Electric Co.,Ltd,Guangzhou 510000,China)
出处
《计算机测量与控制》
2021年第9期187-191,197,共6页
Computer Measurement &Control
关键词
皮尔逊相关系数
灰色关联分析
配电线路拓扑
自动校验系统
线损
Pearson correlation coefficient
gray correlation analysis
distribution line topology
automatic calibration system
line loss
