基于<italic style="font-style: italic">t</italic>-SNE降维和BIRCH聚类的单相用户相位及表箱辨识

连子宽; 姚力; 刘晟源; 余允涛; 唐小淇; 杨莉; 林振智

doi:10.7500/AEPS20190621001

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基于t-SNE降维和BIRCH聚类的单相用户相位及表箱辨识

研制与开发 | 更新时间：2025-06-16

- 基于t-SNE降维和BIRCH聚类的单相用户相位及表箱辨识
- Phase and Meter Box Identification for Single-phase Users Based on t-SNE Dimension Reduction and BIRCH Clustering
- 电力系统自动化-方正平台 2020年44卷第8期页码：176-184
- 作者机构：
  
  1.浙江大学电气工程学院，浙江省杭州市 310027
  2.国网浙江省电力有限公司电力科学研究院，浙江省杭州市 310014
  3.国网浙江省海盐县供电有限公司，浙江省嘉兴市 314300
  4.浙江华云信息科技有限公司，浙江省杭州市 310012
- 作者简介：
  
  连子宽(1995—)，男，硕士研究生，主要研究方向：大数据在电力系统中的应用。E-mail：21710117@zju.edu.cn
  姚力(1971—)，男，硕士，高级工程师，主要研究方向：电力计量技术。E-mail：747475290@qq.com
  刘晟源(1995—)，男，博士研究生，主要研究方向：电力系统态势感知、电力大数据分析。E-mail：eelsy@zju.edu.cn
  杨莉(1974—)，女，通信作者，副教授，硕士生导师，主要研究方向：电力市场、电力系统优化调度、分布式发电技术。E-mail：eeyangli@zju.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(51777185);国家重点研发计划资助项目(2016YFB0901100);国家电网公司总部科技项目(5600-201919168A-0-0-00)
- DOI：10.7500/AEPS20190621001
  中图分类号：
- 收稿日期：2019-06-21，
  
  修回日期：2019-09-28，
  
  网络出版日期：2020-02-26，
  
  纸质出版日期：2020-04-25
- 稿件说明：
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连子宽,姚力,刘晟源等.基于t-SNE降维和BIRCH聚类的单相用户相位及表箱辨识[J].电力系统自动化,2020,44(8):176-184.

LIAN Zikuan,YAO Li,LIU Shengyuan,et al.Phase and Meter Box Identification for Single-phase Users Based on t-SNE Dimension Reduction and BIRCH Clustering[J].Automation of Electric Power Systems,2020,44(8):176-184.
连子宽,姚力,刘晟源等.基于t-SNE降维和BIRCH聚类的单相用户相位及表箱辨识[J].电力系统自动化,2020,44(8):176-184. DOI： 10.7500/AEPS20190621001.

LIAN Zikuan,YAO Li,LIU Shengyuan,et al.Phase and Meter Box Identification for Single-phase Users Based on t-SNE Dimension Reduction and BIRCH Clustering[J].Automation of Electric Power Systems,2020,44(8):176-184. DOI： 10.7500/AEPS20190621001.

摘要

低压台区单相用户的相位及接入表箱信息的准确性对户变关系纠错和线损治理分析有重要影响。目前，拓扑档案的校验主要依靠电力员工现场排查，人力物力消耗大且排查效率低下。因此，亟需一种效率较高的低压台区拓扑档案校验方法。在此背景下，文中提出了一种基于智能电表电压数据的低压台区单相用户相位及接入表箱辨识方法，可以为低压台区的拓扑辨识及排查提供参考。首先，采用

分布的随机近邻嵌入（

-SNE）技术对原始负荷数据进行降维处理，解决台区用户原始负荷特征维度过高带来的冗余性问题；接着，应用BIRCH方法对降维后的负荷数据进行聚类，实现台区下单相用户所属相位和接入表箱的辨识。最后，以浙江省海宁市某台区为例进行验证，算例分析的结果表明所提模型具有可行性和有效性。

Abstract

The accurate phase and meter box information of single-phase users in low-voltage courts have great impacts on the checking of user-transformer relationships and the treatment and analysis of line losses. At present

the correction of topological documents mainly relies on the on-site checking by electrical engineers

which spends a lot of manpower and material resources with low efficiency. Therefore

it is necessary to study a more efficient method of checking the topological documents of the low-voltage courts. In this background

a phase and meter box identification method based on voltage measurement data of smart meters is proposed

which provides reference for topology identification and correction of low-voltage courts. Firstly

the

distributed stochastic neighbor embedding (

-SNE) technology is adopted to reduce the dimension of original load data

so as to solve the redundancy problems caused by excessively high dimension of original load characteristics of users. Then

the balanced iterative reducing and clustering using hierarchies (BIRCH) method is used to cluster the dimension-reduced load data

so as to identify the phase and meter box information of single-phase users. Finally

case studies for an actual low-voltage court in Haining of Zhejiang Province

China

are performed to verify the correctness of the proposed method

and the results show that the proposed model is feasible and effective.

关键词

Keywords

references

ARYA V , SEETHARAM D , KALYANARAMAN S , et al . Phase identification in smart grids [C]// IEEE International Conference on Smart Grid Communications , October 17 - 20 , 2011 , Brussels, Belgium: 25 - 30 .

胡天宇 , 郭庆来 , 孙宏斌 . 基于堆叠去相关自编码器和支持向量机的窃电检测 [J]. 电力系统自动化 , 2019 , 43 ( 1 ): 119 - 125 .

HU Tianyu , GUO Qinglai , SUN Hongbin . Nontechnical loss detection based on stacked uncorrelating autoencoder and support vector machine [J]. Automation of Electric Power Systems , 2019 , 43 ( 1 ): 119 - 125 .

LUAN W , SHARP D , LANCASHIRE S . Smart grid communication network capacity planning for power utilities [C]// IEEE PES T & D, April 19-22 , 2010 , New Orleans , USA: 4p .

LUAN W S D , LAROY S . Data traffic analysis of utility smart metering network [C]// IEEE Power & Energy Society General Meeting, July 21-25 , 2013 , Vancouver , Canada: 4p .

HONG T , BURKE J . Calculating line losses in smart grid: a new rule of thumb [C]// IEEE PES T & D, April 19-22 , 2010 , New Orleans , USA: 5p .

HONG T , WILSON J , XIE J . Long term probabilistic load forecasting and normalization with hourly information [J]. IEEE Transactions on Smart Grid , 2014 , 5 ( 1 ): 456 - 462 .

郑杰 , 赵敬凤 , 王海江 , 等 . 一种基于载波通信的电力相位辨识方 [J]. 电测与仪表 , 2015 , 52 ( 增刊1 ): 77 - 79 .

ZHENG Jie , ZHAO Jingfeng , WANG Haijiang , et al . A method to recognizing phase of power based on carrier communication [J]. Electrical Measurement & Instrumentation , 2015 , 52 (Supplement 1 ): 77 - 79 .

张晶 . 智能电网:用电信息采集系统技术与应用 [M]. 北京 : 中国电力出版社 , 2013 .

ZHANG Jing . Smart grid: technology and application of electricity information acquisition system [M]. Beijing : China Electric Power Press , 2013 .

LUAN W , PENG J , MARAS M , et al . Smart meter data analytics for distribution network connectivity verification [J]. IEEE Transactions on Smart Grid , 2015 , 6 ( 4 ): 1964 - 1971 .

SHORT T A . Advanced metering for phase identification, transformer identification, and secondary modeling [J]. IEEE Transactions on Smart Grid , 2013 , 4 ( 2 ): 651 - 658 .

LUAN W , PENG J , MARAS M , et al . Distribution network topology error correction using smart meter data analytics [C]// IEEE Power & Energy Society General Meeting, July 21-25 , 2013 , Vancouver , Canada: 5p .

PAPPU S J , BHATT N , PASUMARTHY R A . Identifying topology of low voltage distribution networks based on smart meter data [J]. IEEE Transactions on Smart Grid , 2018 , 9 ( 5 ): 5113 - 5122 .

国网河南省电力公司 . 用电信息采集系统常见故障诊断及处理 [M]. 北京 : 中国电力出版社 , 2013 .

State Grid Henan Electric Power Company . Common fault diagnosis and processing of electricity information acquisition system [M]. Beijing : China Electric Power Press , 2013 .

KREYSZIG E . Advanced engineering mathematics [M]. Burlington , USA: Jones & Bartlett Learning , 2011 .

FEWZEE P , KARRAY F . Dimensionality reduction for emotional speech recognition [C]// International Conference on Privacy , Security, Risk and Trust, September 3 - 5 , 2012 , Amsterdam, Netherlands: 532 - 537 .

MAATEN L , HINTON G . Visualizing data using t -SNE [J]. Journal of Machine Learning Research , 2008 , 9 ( 11 ): 2579 - 2605 .

BENNETT R S . Representation and analysis of signals : Part XXI the intrinsic dimensionality of signal collections [EB/OL]. [ 2019-05-20 ]. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.692.4499 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.692.4499 .

GRANATA D , CARNEVALE V . Accurate estimation of the intrinsic dimension using graph distances: unraveling the geometric complexity of datasets [J]. Scientific Reports , 2016 , 6 : 1 - 8 .

ZHANG T , RAMAKRISHNAN R , LIVNY M . BIRCH: an efficient data clustering method for very large databases [C]// ACM SIGMOD Record , June 4 - 6 , 1996 , Montreal, Canada: 103 - 114 .

COMER D . The ubiquitous B tree [J]. ACM Computing Surveys , 1979 , 11 ( 2 ): 121 - 137 .

ROKACH L , MAIMON O . Data mining and knowledge discovery handbook [M]. Boston , USA: Springer , 2005 .

潘明明 , 田世明 , 吴博 , 等 . 基于智能电表数据的台区识别与窃电检测方法研究 [J]. 智慧电力 , 2017 , 45 ( 12 ): 80 - 84 .

PAN Mingming , TIAN Shiming , WU Bo , et al . Research on users’ transformer attribute identification and stealing electricity detection method based on smart meter data [J]. Smart Power , 2017 , 45 ( 12 ): 80 - 84 .

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基于电压曲线形态特征聚类的低压台区相位辨识

基于电压和功率数据的低压用户相别识别优化建模与应用

基于t-SNE降维和BIRCH聚类的单相用户相位及表箱辨识

Phase and Meter Box Identification for Single-phase Users Based on t-SNE Dimension Reduction and BIRCH Clustering

DOI：10.7500/AEPS20190621001

摘要

Abstract

关键词

Keywords

references