基于三相表特征约束聚类的低压台区用户相序识别方法  

Phase Sequence Identification Method for Users in Low-voltage Distribution-station Area Based on Feature Constraint Clustering of Three-phase Meter

作　　者：唐捷 蔡永智 李其霖 刘斯亮[3] 张勇军[3] 羿应棋 黄向敏 TANG Jie;CAI Yongzhi;LI Qilin;LIU Siliang;ZHANG Yongjun;YI Yingqi;HUANG Xiangmin(Guangdong Power Grid Co.,Ltd.,Guangzhou 510060,China;Metrology Center of Guangdong Power Grid Co.,Ltd.,Guangzhou 510080,China;Research Center of Smart Energy Technology,School of Electric Power,South China University of Technology,Guangzhou 510641,China)

机构地区：[1]广东电网有限责任公司,广东省广州市510060 [2]广东电网有限责任公司计量中心,广东省广州市510080 [3]智慧能源工程技术研究中心,华南理工大学电力学院,广东省广州市510641

出　　处：《电力系统自动化》2022年第8期60-67,共8页Automation of Electric Power Systems

基　　金：国家自然科学基金资助项目(52177085)。

摘　　要：低压用户供电相序信息的准确获取对台区线损精益化管理、三相不平衡精准治理等工作的开展具有重要支撑作用。尽管三相表在数据采集时已标定相序,但由于接线不规范等问题导致其与真实相序不一致。同时,忽略三相表将劣化相序识别准确率。为此,提出基于三相表特征约束聚类的低压台区用户相序识别方法。首先,采用Z-Score与t分布的随机近邻嵌入(t-SNE)算法对用户电压时序特征进行标准化与降维处理。在此基础上,提出嵌有快速收敛机制且考虑三相表特征约束的K-Medoids半监督聚类算法(CFK-Medoids)对用户进行聚类分析。最后,选取中国广东省台区实际数据开展算例分析。结果表明,所提方法识别准确率高,能够有效辨识三相表不规范接线问题。Accurate acquisition of power supply phase sequence information in low-voltage distribution-station area plays an important supporting role in the development of lean management of line loss and accurate treatment of three-phase imbalance.Although the phase sequence of the three-phase meter has been gained during data collection,it is inconsistent with the real phase sequence due to non-standard wiring and other problems.At the same time,ignoring the three-phase meters will degrade the identification accuracy of the phase sequence.Therefore,this paper proposes a phase identification method for users in low-voltage distribution-station area based on feature constraint clustering of three-phase meters.Firstly,Z-Score and t-distributed stochastic neighbor embedding(t-SNE)algorithms are used to standardize and reduce the dimension of user voltage-time-series characteristics.On this basis,a constrained fast K-Medoids(CFK-Medoids)semi-supervised clustering algorithm based on background knowledge is proposed to cluster users.Finally,the actual data of station area in Guangdong Province of China are selected for case study.The results show that the proposed method has high identification accuracy and can effectively identify the problem of non-standard wiring of three-phase meters.

关 键 词：低压台区 相序识别 智能配电网 半监督聚类 

分 类 号：TM73[电气工程—电力系统及自动化]