现代电力2024，Vol.41Issue(6)：1052-1059,8.DOI:10.19725/j.cnki.1007-2322.2022.0425
基于电压序列相似性的户变关系与相别识别
Tansformer-customer Relationship and Phase Identification Based on Voltage Sequence Similarity
楚成博 1朱丽萍 1方磊 1樊清川 2吴蓉 2袁捷2
作者信息
- 1. 国网江苏省电力有限公司南京供电分公司,江苏省 南京市 210019
- 2. 湖南大学电气与信息工程学院,湖南省 长沙市 410082
- 折叠
摘要
Abstract
With the renovation and upgrading of the low-voltage distribution network,the transformer-customer relation-ship changes frequently.In order to solve the user's hanging wrong phenomenon that happens from time to time in the sub-station area,an identification method of the transformer-cus-tomer relationship and the phase difference in the substation area was proposed by using an improved density-based point sorting recognition clustering structure(abbr.OPTICS).Firstly,the correlation of the distribution network voltage series was analyzed qualitatively,proposing the use of voltage time series as the data basis for analysis and recognition.Secondly,the im-proved adaptive piecewise aggregate approximation(abbr.APAA)was used to reduce the dimensionality of the voltage series,extracting the low-dimensional vectors that can reflect the voltage characteristics.Thirdly,the extracted feature vec-tors were clustered by using the improved OPTICS algorithm to identify the transformer-customer relationship and phase rela-tionships of the substation area.finally,an example analysis was carried out based on the actual data of the substation area,which verifies the accuracy of the proposed method.关键词
户变关系/相别识别/时序序列数据/特征提取/自适应分段聚合近似/基于密度的聚类算法Key words
transformer-customer relationship/phase identi-fication/time series data/feature extraction/APAA/OP-TICS分类
信息技术与安全科学引用本文复制引用
楚成博,朱丽萍,方磊,樊清川,吴蓉,袁捷..基于电压序列相似性的户变关系与相别识别[J].现代电力,2024,41(6):1052-1059,8.
