基于数据统计相关性分析的多谐波源责任评估  

Harmonic contribution evaluation of multiple harmonic sources based on data statistical correlation analysis

作　　者：张岩 张青青 许庆燊 王华佳 于丹文 ZHANG Yan;ZHANG Qingqing;XU Qingshen;WANG Huajia;YU Danwen(State Grid Shandong Electric Power Research Institute,Ji’nan 250003,China;School of Electrical Engineering,Shandong University,Ji’nan 250061,China)

机构地区：[1]国网山东省电力公司电力科学研究院,山东济南250003 [2]山东大学电气工程学院,山东济南250061

出　　处：《应用科技》2021年第4期47-53,共7页Applied Science and Technology

基　　金：国网山东省电力公司科技项目(520626190063).

摘　　要：为了有效利用电能质量监测数据评估谐波责任,本文分析了多谐波源系统中各谐波源谐波电流与畸变谐波电压之间的相关性,提出了基于数据统计相关性确定多谐波源系统中各谐波源责任的方法。首先,结合偏相关分析确定了谐波源的谐波电流和超标节点的谐波电压之间的统计规律,选择出主要谐波源;然后,基于偏最小二乘法,建立了各谐波源的谐波贡献评价指标,利用负荷水平分割法将实测数据划分为波动性较小的数据段归类储存,并选择合适的数据段计算各谐波源的谐波责任定量大小;最后,通过仿真分析与实测数据验证了所提方法的有效性。本研究所提出的方法计算方便、工程实践性强,能为针对性治理主要谐波源提供依据。In order to effectively use the power quality monitoring data to evaluate the harmonic responsibility,this paper analyzes the correlation between the harmonic current of each harmonic source and the distorted harmonic voltage in the multiple harmonic source system,and proposes a method to determine the responsibility of each harmonic source based on the statistical correlation analysis of the data.Firstly,the statistical law between the harmonic current of the harmonic source and the harmonic voltage of the observation node is determined by the partial correlation analysis.Then,based on the partial least square method,the harmonic contribution evaluation index of each harmonic source is established.To meet the calculation need,the measured data is divided into small data segments and stored using the load level segmentation method,so as to extract the data segments and calculate the harmonic magnitude of each harmonic source.Finally,simulation analysis and measured data verify the effectiveness of the proposed method.The proposed method is convenient in calculation and practical in engineering.It can provide a basis for targeted treatment of the main harmonic sources.

关 键 词：多谐波源 谐波责任区分 统计相关性 数据选择 偏最小二乘法 电能质量 实测数据 线性回归 

分 类 号：TM761[电气工程—电力系统及自动化]