Modeling and Application of Phase Identification Optimization for Low-voltage Customer Based on Voltage and Power Data

Junteng LUO; Jianmin ZHANG; Li YAO; Linna NI; Jiangming ZHANG; Huanlei YU

doi:10.7500/AEPS20200107007

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Modeling and Application of Phase Identification Optimization for Low-voltage Customer Based on Voltage and Power Data

Application Research | 更新时间：2025-06-16

- Modeling and Application of Phase Identification Optimization for Low-voltage Customer Based on Voltage and Power Data
- Automation of Electric Power Systems Vol. 45, Issue 7, Pages: 123-131(2021)
- 作者机构：
  
  1.杭州电子科技大学自动化学院，浙江省杭州市310018
  2.国网浙江省电力有限公司营销服务中心，浙江省杭州市311121
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China;State Grid Corporation of China
- DOI：10.7500/AEPS20200107007
  CLC：
- Received：07 January 2020，
  
  Revised：2020-12-13，
  
  Published Online：31 January 2021，
  
  Published：10 April 2021
- 稿件说明：
移动端阅览
罗钧腾,章坚民,姚力等.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[J].电力系统自动化,2021,45(7):123-131.

LUO Junteng,ZHANG Jianmin,YAO Li,et al.Modeling and Application of Phase Identification Optimization for Low-voltage Customer Based on Voltage and Power Data[J].Automation of Electric Power Systems,2021,45(7):123-131.
罗钧腾,章坚民,姚力等.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[J].电力系统自动化,2021,45(7):123-131. DOI： 10.7500/AEPS20200107007.

LUO Junteng,ZHANG Jianmin,YAO Li,et al.Modeling and Application of Phase Identification Optimization for Low-voltage Customer Based on Voltage and Power Data[J].Automation of Electric Power Systems,2021,45(7):123-131. DOI： 10.7500/AEPS20200107007.

摘要

低压用户相别识别是低压配电网计量拓扑识别的内容之一。首先，描述原问题并对已有研究进行回顾，阐述文中研究特点；按照线路分叉点数量将用户降维到虚拟用户空间；再对虚拟用户空间电压波形采用

分布的随机近邻嵌入（

-SNE）算法，形成进一步降维的特征空间；对于特征空间的电压波形以及聚合功率，提出同时考虑功率平衡和电压时序波形分类的多目标优化模型，使用仅考虑功率平衡的优化问题的解作为初始解。选择2个具有典型特征的城镇居民台区作为试点，发现常见的5类聚类方法均只有1个台区识别成功，且表现差异很大，而所提方法在2个案例中均取得成功，表明其具有一定的稳定性和通用性。

Abstract

Phase identification for low-voltage customer is one of the contents of metering topology identification for low-voltage distribution networks. First

based on the original problem description and review of existing research

the research characteristics of this paper are explained. The customers are reduced to the virtual customer space according to the number of line bifurcation points. Then

the virtual customer space voltage waveform forms a feature space for further dimension reduction using

-distributed stochastic neighbor embedding (

-SNE) algorithm. For the voltage waveform and aggregated power in the feature space

a multi-objective optimization model considering both power balance and voltage timing waveform classification is proposed

in which the solution of the optimization problem only considering power balance is used as the initial solution. Two urban residential areas with typical characteristics are selected as pilot projects. It is found that only one area is successfully identified by using the common five types of clustering methods and their performance is very different. However

the proposed method identifies both areas

which shows its stability and versatility.

关键词

Keywords

references

章坚民，夏燕，倪琳娜，等 . 面向不对称察觉的低压配电网分相接线图自动成图［J］. 电力系统自动化， 2020 ， 44 （ 13 ）： 143 - 149 .

ZHANG Jianmin ， XIA Yan ， NI Linna ， et al . Auto-generation of phase-separated connection diagram for asymmetry perceptible low-voltage distribution network ［J］. Automation of Electric Power Systems ， 2020 ， 44 （ 13 ）： 143 - 149 .

聂峥，章坚民，傅华渭 . 配变终端边缘节点化及容器化的关键技术和应用场景设计［J］. 电力系统自动化， 2020 ， 44 （ 3 ）： 154 - 161 .

NIE Zheng ， ZHANG Jianmin ， FU Huawei . Key technologies and application scenario design for making distribution transformer terminal unit being a containerized edge node ［J］. Automation of Electric Power Systems ， 2020 ， 44 （ 3 ）： 154 - 161 .

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

WATSON J D ， WELCH J ， WATSON N R . Use of smart-meter data to determine distribution system topology ［J］. The Journal of Engineering ， 2016 ， 5 ： 94 - 101 .

ZHANG M ， LUAN W ， GUO S ， et al . Topology identification method of distribution network based on smart meter measurements ［C］// 2018 China International Conference on Electricity Distribution ， September 17 - 19 ， 2018 ， Tianjin ， China .

MITRA R ， KOTA R ， BANDYOPADHYAY S ， et al . Voltage correlations in smart meter data ［C］// 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ， August 10 - 13 ， 2015 ， New York ， USA .

WANG W ， YU N ， FOGGO B ， et al . Phase identification in electric power distribution systems by clustering of smart meter data ［C］// 15th IEEE International Conference on Machine Learning and Applications ， December 18 - 20 ， 2016 ， Anaheim ， USA .

张然，孙晓璐，何仲潇，等 . 基于异常点检测和改进 K -means算法的台区用户相别辨识方法［J］. 智慧电力， 2020 ， 48 （ 1 ）： 91 - 96 .

ZHANG Ran ， SUN Xiaolu ， HE Zhongxiao ， et al . Phase identification method for distribution area users based on outlier detection and improved K -means algorithm ［J］. Smart Power ， 2019 ， 48 （ 1 ）： 91 - 96 .

吴奇，陈相，周昊，等 . 基于主成分分析法和改进 K -means算法的台区用户识别方法［J］. 电气自动化， 2020 ， 42 （ 5 ）： 55 - 57 .

WU Qi ， CHEN Xiang ， ZHOU Hao ， et al . Transformer area user recognition method based on principal component analysis and improved K -means algorithm ［J］. Electrical Automation ， 2020 ， 42 （ 5 ）： 55 - 57 .

NI F ， LIU J Q ， WEI F ， et al . Phase identification in distribution systems by data mining methods ［C］// IEEE Conference on Energy Internet and Energy System Integration ， November 26 - 18 ， 2017 ， Beijing ， China .

OLIVIER F ， SUTERA A ， GEURTS P ， et al . Phase identification of smart meters by clustering voltage measurements ［C］// Power Systems Computation Conference ， June 11 - 15 ， 2018 ， Dublin ， Ireland .

耿俊成，张小斐，万迪明，等 . 基于电压曲线聚类分析的低压用户相序自动识别［J］. 电力大数据， 2019 ， 22 （ 12 ）： 1 - 8 .

GENG Juncheng ， ZHANG Xiaofei ， WAN Diming ， et al . Automatic phase identification of low-voltage users based on voltage curves cluster analysis ［J］. Power Systems and Big Data ， 2019 ， 22 （ 12 ）： 1 - 8 .

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 method for single-phase users based on t -SNE dimension reduction and BIRCH clustering ［J］. Automation of Electric Power Systems ， 2020 ， 44 （ 8 ）： 176 - 184 .

MA Y ， FAN X ， TANG R ， et al . Phase identification of smart meters by spectral clustering ［C］// 2nd IEEE Conference on Energy Internet and Energy System Integration ， October 21 - 23 ， 2018 ， Beijing ， China .

BLAKELY L ， RENO M J ， FENG W . Spectral clustering for customer phase identification using AMI voltage timeseries ［C］// IEEE Power and Energy Conference at Illinois， February 28-March 1 ， 2019 ， Champaign ， USA .

LIU S ， CUI X ， LIN Z ， et al . Practical method for mitigating three-phase unbalance based on data-driven user phase identification ［J］. IEEE Transactions on Power Systems ， 2020 ， 35 （ 2 ）： 1653 - 1656 .

DILEK M ， BROADWATER R P ， SEQUIN R . Phase prediction in distribution systems ［C］// IEEE Power Engineering Society Winter Meeting ， January 27 - 31 ， 2002 ， New York ， USA .

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 .

JAYADEV S P ， RAJESWARAN A ， BHATT N P ， et al . A novel approach for phase identification in smart grids using graph theory and principal component analysis ［C］// American Control Conference ， July 6 - 8 ， 2016 ， Boston ， USA .

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

TANG X ， MILANOVIC J V . Phase identification of LV distribution network with smart meter data ［C］// IEEE PES General Meeting ， August 5 - 10 ， 2018 ， Portland ， USA .

张丽强，丛伟，董罡，等 . 基于多元线性回归的单相电表相别判断方法［J］. 电力自动化设备， 2020 ， 40 （ 5 ）： 144 - 156 .

ZHANG Liqiang ， CONG Wei ， DONG Gang ， et al . Method for single-phase electric meter phase identification based on multiple linear regression ［J］. Electric Power Automation Equipment ， 2020 ， 40 （ 5 ）： 144 - 156 .

ROUSSEEUW P J . Silhouettes： a graphical aid to the interpretation and validation of cluster analysis ［J］. Journal of Computational and Applied Mathematics ， 1987 ， 20 ： 53 - 65 .

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

玄光男 . 遗传算法与工程优化［M］. 北京：清华大学出版社， 2004 .

MITSUO G . Genetic algorithm and engineering optimization ［M］. Beijing ： Tsinghua University Press ， 2004 .

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