基于监测数据相关性分析的用户谐波责任划分方法

张逸; 王攸然; 刘航; 邵振国; 林芳; 陈育欣

doi:10.7500/AEPS20190220002

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基于监测数据相关性分析的用户谐波责任划分方法

研制与开发 | 更新时间：2025-06-16

- 基于监测数据相关性分析的用户谐波责任划分方法
- Determination Method of User Harmonic Responsibility Based on Correlation Analysis of Monitoring Data
- 电力系统自动化-方正平台 2020年44卷第2期页码：188-196
- 作者机构：
  
  1.福州大学电气工程与自动化学院，福建省福州市 350116
  2.福建省电器智能化工程技术研究中心，福建省福州市 350116
  3.西南财经大学统计学院，四川省成都市 611100
  4.国网福建省电力有限公司电力科学研究院，福建省福州市 350007
  5.国网福建省电力有限公司石狮市供电公司，福建省石狮市 362300
- 作者简介：
  
  张逸(1984—)，男，博士，副教授，主要研究方向：电能质量、主动配电网及电力数据分析。E-mail：zhangyi@fzu.edu.cn
  王攸然(1994—)，女，硕士研究生，主要研究方向：电能质量、分布式新能源技术。E-mail：592287678@qq.com
  刘航(1995—)，女，通信作者，硕士研究生，主要研究方向：曲线形态匹配技术。E-mail：gwyzmz@outlook.com（编辑蔡静雯）
- 基金信息：
  
  国家自然科学基金资助项目(51777035)
- DOI：10.7500/AEPS20190220002
  中图分类号：
- 收稿日期：2019-02-20，
  
  修回日期：2019-06-14，
  
  网络出版日期：2019-10-21，
  
  纸质出版日期：2020-01-25
- 稿件说明：
移动端阅览
张逸,王攸然,刘航等.基于监测数据相关性分析的用户谐波责任划分方法[J].电力系统自动化,2020,44(02):188-196.

ZHANG Yi,WANG Youran,LIU Hang,et al.Determination Method of User Harmonic Responsibility Based on Correlation Analysis of Monitoring Data[J].Automation of Electric Power Systems,2020,44(02):188-196.
张逸,王攸然,刘航等.基于监测数据相关性分析的用户谐波责任划分方法[J].电力系统自动化,2020,44(02):188-196. DOI： 10.7500/AEPS20190220002.

ZHANG Yi,WANG Youran,LIU Hang,et al.Determination Method of User Harmonic Responsibility Based on Correlation Analysis of Monitoring Data[J].Automation of Electric Power Systems,2020,44(02):188-196. DOI： 10.7500/AEPS20190220002.

摘要

针对传统谐波责任划分方法无法实现长时间尺度的动态责任划分，需要专门量测，无法利用现有监测系统数据，以及无法划分同一馈线各用户谐波责任等缺点，提出一种基于监测数据相关性分析的用户谐波责任划分方法。首先，计算电能质量监测系统中谐波电压数据序列与用电信息采集系统中各用户平均有功功率数据序列的典则相关系数，将公共连接点谐波责任划分为背景谐波责任与所关注用户谐波责任；其次，计算谐波电压与各用户有功功率的动态扭曲相关系数，用于反映各用户用电行为与公共连接点谐波电压畸变的关联关系；最后，构造并计算同时考虑关联关系、用户用电容量的长时间尺度谐波责任划分指标。利用实际监测系统中的数据验证了所提方法的有效性和实用性，能基于现有监测数据实现馈线上每个用户的长时间尺度动态谐波责任划分。

Abstract

Conventional harmonic responsibility determination methods have shortages such as the inability to achieve long-time scale dynamic responsibility determination

the need for special measurement

the inability to utilize the data of existing monitoring systems

and the inability to determine the harmonic responsibilities of users on the same feeder. Thus

this paper proposes a determination method of user harmonic responsibility based on correlation analysis of monitoring data. Firstly

the monitoring data are collected

including the harmonic voltage data from the power quality monitoring system and the average active power data of each user from the power information collection system. By the canonical correlation coefficients based on these data

the harmonic responsibility at the point of common coupling (PCC) is divided into the background harmonic responsibility and the harmonic responsibility of concerned users. Secondly

the dynamic distortion correlation coefficients of harmonic voltage and active power of each user are calculated

which are used to reflect the relationship between user power consumption behavior and harmonic voltage distortion at PCC. Finally

the long-time scale index for harmonic responsibility determination is developed with consideration of the relationship and user power consumption capacity. The validity and practicability of the proposed method are verified by the data in the actual monitoring system

and the long-time scale dynamic harmonic responsibility determination of each user on the feeder can be realized based on the existing monitoring data.

关键词

Keywords

references

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