Evaluation method of harmonic emission level under the influence of multivariate nonlinear customer interaction

2022 International Conference on Wireless Communications, Electrical Engineering and Automation (WCEEA) Pub Date : 2022-10-01 DOI:10.1109/WCEEA56458.2022.00059

Ling Pan, Yingjie Tian, Qian Feng, Xiaofeng Zou

{"title":"Evaluation method of harmonic emission level under the influence of multivariate nonlinear customer interaction","authors":"Ling Pan, Yingjie Tian, Qian Feng, Xiaofeng Zou","doi":"10.1109/WCEEA56458.2022.00059","DOIUrl":null,"url":null,"abstract":"Under the background of high power electronic rate in city grid, power system presents the characteristics of multiple nonlinear customers interaction, which aggravates the harmonic pollution. Besides, the fluctuation of background harmonics becomes more severe, and certain correlations exist among the harmonic emission properties of different harmonic sources. As a result, there will be new challenges in the quantification of harmonic responsibility. In this paper, a sparse component analysis-based method is proposed to solve this problem. Through sparse transformation of the source signals, the measured harmonic voltage and current signals will be clustered linearly. The slope of the clustering line can be used to calculate the harmonic impedance, and then the harmonic responsibility can be quantified. The proposed method can ensure a high calculation accuracy even when background harmonics fluctuate greatly and each harmonic source is no longer independent. The feasibility of the proposed method is verified by simulation analysis.","PeriodicalId":143024,"journal":{"name":"2022 International Conference on Wireless Communications, Electrical Engineering and Automation (WCEEA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Wireless Communications, Electrical Engineering and Automation (WCEEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCEEA56458.2022.00059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

Under the background of high power electronic rate in city grid, power system presents the characteristics of multiple nonlinear customers interaction, which aggravates the harmonic pollution. Besides, the fluctuation of background harmonics becomes more severe, and certain correlations exist among the harmonic emission properties of different harmonic sources. As a result, there will be new challenges in the quantification of harmonic responsibility. In this paper, a sparse component analysis-based method is proposed to solve this problem. Through sparse transformation of the source signals, the measured harmonic voltage and current signals will be clustered linearly. The slope of the clustering line can be used to calculate the harmonic impedance, and then the harmonic responsibility can be quantified. The proposed method can ensure a high calculation accuracy even when background harmonics fluctuate greatly and each harmonic source is no longer independent. The feasibility of the proposed method is verified by simulation analysis.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

多元非线性顾客交互影响下的谐波发射水平评价方法

在城市电网电力电子化率高的背景下，电力系统呈现出多用户非线性交互的特点，加剧了谐波污染。背景谐波波动加剧，不同谐波源的谐波发射特性之间存在一定的相关性。因此，谐波责任的量化将面临新的挑战。本文提出了一种基于稀疏分量分析的方法来解决这一问题。通过对源信号进行稀疏变换，将测量到的谐波电压和电流信号进行线性聚类。聚类线的斜率可以用来计算谐波阻抗，从而量化谐波责任。在背景谐波波动较大、各谐波源不再独立的情况下，该方法仍能保证较高的计算精度。仿真分析验证了该方法的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2022 International Conference on Wireless Communications, Electrical Engineering and Automation (WCEEA)

自引率

0.00%

发文量