Motif-based Analysis on Load Fluctuation Characteristics in Low-voltage Distribution Network

Zhiyi LI; Xiangyu MA; Qun YU; Huanhai XIN; Ping JU

doi:10.7500/AEPS20210630016

您当前的位置：

首页 >

文章列表页 >

Motif-based Analysis on Load Fluctuation Characteristics in Low-voltage Distribution Network

Basic Research | 更新时间：2025-06-16

- Motif-based Analysis on Load Fluctuation Characteristics in Low-voltage Distribution Network
- Automation of Electric Power Systems Vol. 46, Issue 10, Pages: 209-215(2022)
- 作者机构：
  
  1.浙江大学电气工程学院,浙江省杭州市 310027
  2.浙江大学工程师学院,浙江省杭州市 310015
  3.河海大学能源与电气学院,江苏省南京市 211100
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(U2066601;52007164)
- DOI：10.7500/AEPS20210630016
  CLC：
- Received：30 June 2021，
  
  Revised：2021-12-19，
  
  Published Online：26 April 2022，
  
  Published：25 May 2022
- 稿件说明：
移动端阅览
李知艺,马翔宇,于群等.基于模体的低压配电网负荷波动特性分析[J].电力系统自动化,2022,46(10):209-215.

LI Zhiyi,MA Xiangyu,YU Qun,et al.Motif-based Analysis on Load Fluctuation Characteristics in Low-voltage Distribution Network[J].Automation of Electric Power Systems,2022,46(10):209-215.
李知艺,马翔宇,于群等.基于模体的低压配电网负荷波动特性分析[J].电力系统自动化,2022,46(10):209-215. DOI： 10.7500/AEPS20210630016.

LI Zhiyi,MA Xiangyu,YU Qun,et al.Motif-based Analysis on Load Fluctuation Characteristics in Low-voltage Distribution Network[J].Automation of Electric Power Systems,2022,46(10):209-215. DOI： 10.7500/AEPS20210630016.

摘要

随着新型电力系统的建设和发展，低压配电网中负荷内涵日渐丰富，负荷波动愈加随机，亟须挖掘用户侧海量量测数据的隐藏价值。为快速、精准辨识负荷演变态势，借鉴模体理念，提出了一种数据驱动、简单高效的低压配电网负荷波动特性分析新思路。针对单个负荷，将连续时间点负荷功率的相对大小作为准则构建个体模体，提取负荷连续波动的细节特征，进而识别负荷类型；针对负荷集群，将连续时间段负荷功率整体波动的相对距离作为准则构建集群模体，刻画分散负荷的聚合波动特征，进而推断外界因素影响下的集群波动规律。基于多个实际数据集的数值实验表明，所提方法能从个体、集群2个层面实现对低压配电网负荷波动特性的准确认知。

Abstract

With the construction and development of new power systems

the load connotation of low-voltage distribution networks is becoming increasingly extensive

and the load fluctuations are more irregular. It is essential to fully mine the hidden value of the massive measurement data on the demand side. To quickly and accurately identify the load evolution situation

a novel idea for a data-driven

simple and efficient analysis of the load fluctuation characteristics of the low-voltage distribution network is proposed based on the concept of the motif. For the individual loads

the relative relation of load power in a continuous time period is used as the criterion for the individual motif construction

and the detailed characteristics of load variations are extracted to identify the attribute of load; for the load clusters

the relative distance of overall load power fluctuations in a continuous-time period is adopted to construct clustered motifs

which can describe the aggregated fluctuation characteristics of the dispersed load

and infer the fluctuation rules of load clusters under the influence of external factors. Numerical experiments based on the multiple actual datasets show that the proposed method can achieve the accurate cognition of load fluctuation characteristics of low-voltage distribution networks at the individual and cluster levels

respectively.

关键词

Keywords

references

国家能源局综合司关于做好可再生能源发展“十四五”规划编制工作有关事项的通知（国能综通新能〔2020〕 29号）［EB/OL］.［ 2021-04-09 ］. http：//zfxxgk.nea.gov.cn/2020-04/09/c_138978 661.htm http://zfxxgk.nea.gov.cn/2020-04/09/c_138978661.htm .

Notice of the Comprehensive Department of the National Energy Administration on the preparation of the 14th Five-Year Plan for renewable energy development （No . 〔2020〕 29 ）［EB/OL］. ［ 2021-04-09 ］. http：//zfxxgk.nea.gov.cn/2020-04/09/c_138978 661.htm http://zfxxgk.nea.gov.cn/2020-04/09/c_138978661.htm .

国家能源局召开发布会介绍2021年一季度我国能源形势等有关情况并答问［EB/OL］.［ 2021-04-29 ］. http：//www.gov.cn/xinwen/2021-04/30/content_5604055.htm http://www.gov.cn/xinwen/2021-04/30/content_5604055.htm .

The National Energy Administration held a press conference to introduce energy situation of China in the first quarter of 2021 and answer questions ［EB/OL］. ［ 2021-04-29 ］. http：//www.gov.cn/xinwen/2021-04/30/content_5604055.htm http://www.gov.cn/xinwen/2021-04/30/content_5604055.htm .

HALBRÜGGE S ， SCHOTT P ， WEIBELZAHL M ， et al . How did the German and other European electricity systems react to the COVID-19 pandemic？［J］. Applied Energy ， 2021 ， 285 ： 116370 .

LIU X L ， LIN Z . Impact of Covid-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with bidirectional long short term memory ［J］. Energy ， 2021 ， 227 ： 120455 .

ALIPOUR P ， MUKHERJEE S ， NATEGHI R . Assessing climate sensitivity of peak electricity load for resilient power systems planning and operation： a study applied to the Texas region ［J］. Energy ， 2019 ， 185 ： 1143 - 1153 .

孙玲玲，高赐威，谈健，等 . 负荷聚合技术及其应用［J］. 电力系统自动化， 2017 ， 41 （ 6 ）： 159 - 167 .

SUN Lingling ， GAO Ciwei ， TAN Jian ， et al . Load aggregation technology and its applications ［J］. Automation of Electric Power Systems ， 2017 ， 41 （ 6 ）： 159 - 167 .

姜婷玉，鞠平，王冲 . 考虑用户调节行为随机性的空调负荷聚合功率模型［J］. 电力系统自动化， 2020 ， 44 （ 3 ）： 105 - 113 .

JIANG Tingyu ， JU Ping ， WANG Chong . Aggregated power model of air-conditioning load considering stochastic adjustment behaviors of consumers ［J］. Automation of Electric Power Systems ， 2020 ， 44 （ 3 ）： 105 - 113 .

李亚平，姚建国，雍太有，等 . 居民温控负荷聚合功率及响应潜力评估方法研究［J］. 中国电机工程学报， 2017 ， 37 （ 19 ）： 5519 - 5528 .

LI Yaping ， YAO Jianguo ， YONG Taiyou ， et al . Estimation approach to aggregated power and response potential of residential thermostatically controlled loads ［J］. Proceedings of the CSEE ， 2017 ， 37 （ 19 ）： 5519 - 5528 .

朱文俊，王毅，罗敏，等 . 面向海量用户用电特性感知的分布式聚类算法［J］. 电力系统自动化， 2016 ， 40 （ 12 ）： 21 - 27 .

ZHU Wenjun ， WANG Yi ， LUO Min ， et al . Distributed clustering algorithm for awareness of electricity consumption characteristics of massive consumers ［J］. Automation of Electric Power Systems ， 2016 ， 40 （ 12 ）： 21 - 27 .

刘莉，王刚，翟登辉 . k -means聚类算法在负荷曲线分类中的应用［J］. 电力系统保护与控制， 2011 ， 39 （ 23 ）： 65 - 68 .

LIU Li ， WANG Gang ， ZHAI Denghui . Application of k -means clustering algorithm in load curve classification ［J］. Power System Protection and Control ， 2011 ， 39 （ 23 ）： 65 - 68 .

颜宏文，盛成功 . 基于层次聚类和极限学习机的母线短期负荷预测［J］. 计算机应用， 2018 ， 38 （ 8 ）： 2437 - 2441 .

YAN Hongwen ， SHENG Chenggong . Short-term bus load forecasting based on hierarchical clustering method and extreme learning machine ［J］. Journal of Computer Applications ， 2018 ， 38 （ 8 ）： 2437 - 2441 .

宋军英，何聪，李欣然，等 . 基于特征指标降维及熵权法的日负荷曲线聚类方法［J］. 电力系统自动化， 2019 ， 43 （ 20 ）： 65 - 72 .

SONG Junying ， HE Cong ， LI Xinran ， et al . Daily load curve clustering method based on feature index dimension reduction and entropy weight method ［J］. Automation of Electric Power Systems ， 2019 ， 43 （ 20 ）： 65 - 72 .

MA S S ， SNYDER M ， DINESH-KUMAR S P . Discovery of novel human gene regulatory modules from gene co-expression and promoter motif analysis ［J/OL］. Scientific Reports ， 2017 ， 7 ［ 2021-04-11 ］. https：//doi.org/10.1038/s41598-017-05705-2 https://doi.org/10.1038/s41598-017-05705-2 .

MILO R ， SHEN-ORR S ， ITZKOVITZ S ， et al . Network motifs： simple building blocks of complex networks ［J］. Science ， 2002 ， 298 （ 5594 ）： 824 - 827 .

SILVA M I ， HENRIQUES R . Finding manoeuvre motifs in vehicle telematics ［J］. Accident Analysis & Prevention ， 2020 ， 138 ： 105467 .

CHOUDHARY G I ， AZIZ W ， FRÄNTI P . Detection of time irreversibility in interbeat interval time series by visible and nonvisible motifs from horizontal visibility graph ［J］. Biomedical Signal Processing and Control ， 2020 ， 62 ： 102052 .

JIANG Y F ， LI C P ， HAN J Z . Stock temporal prediction based on time series motifs ［C］// 2009 International Conference on Machine Learning and Cybernetics ， July 12-15 ， 2009 ， Hebei， China ： 3550 - 3555 .

WEIK M H . Hamming distance ［M］// Computer science and communications dictionary . Boston， USA ： Springer ， 2000 .

UMass Trace Repository . Smart* data set for sustainability ［EB/OL］. ［ 2021-05-06 ］. http：//traces.cs.umass.edu/index.php/Smart/Smart http://traces.cs.umass.edu/index.php/Smart/Smart .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

ZHENG Ran

LIU Baozhu

HU Junjie

XIE Dongliang

CHEN Zhilin

LIU Hao

BI Tianshu

HUANG Yu

Related Institution

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)

State Grid Electric Power Research Institute (NARI Group Corporation)

Institute of Advanced Technology for Carbon Neutrality, Nanjing University of Posts and Telecommunications

NARI Group Corporation (State Grid Electric Power Research Institute)

National Engineering Research Center for Electrical Energy Conversion and Control (Hunan University)

⁰