Hongtao Sheng, Huaying Zhang, Qing Wang, Jun Tao, Qianlong Zhu
{"title":"A Method for Selecting Harmonic Monitoring Points Considering Correlation between Voltage Value and Harmonic Distortion Rate","authors":"Hongtao Sheng, Huaying Zhang, Qing Wang, Jun Tao, Qianlong Zhu","doi":"10.1109/CEEPE58418.2023.10165947","DOIUrl":null,"url":null,"abstract":"The harmonic distortion level of nonlinear load in distribution network has been widely concerned. At the same time, the monitoring of distribution system is insufficient, and it is difficult to reflect the overall harmonic level by setting fewer harmonic monitoring points. In order to solve this problem, this paper proposes a method to determine harmonic monitoring points by using voltage value according to the correlation between voltage value and harmonic distortion rate. The proposed method for setting harmonic monitoring points uses the fundamental voltage value of each bus collected from traditional smart meters. By comparing the correlation between fundamental voltage index and harmonic voltage distortion rate, it is found that the fundamental voltage index has a strong correlation with harmonic voltage distortion rate. It is proposed to use Pearson correlation coefficient matrix of fundamental voltage index to determine harmonic monitoring nodes through optimization algorithm. In this paper, IEEE-14 node is used to verify this method. The results show that the harmonic level of the whole distribution network can be reflected by setting a few harmonic monitoring points.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE58418.2023.10165947","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
The harmonic distortion level of nonlinear load in distribution network has been widely concerned. At the same time, the monitoring of distribution system is insufficient, and it is difficult to reflect the overall harmonic level by setting fewer harmonic monitoring points. In order to solve this problem, this paper proposes a method to determine harmonic monitoring points by using voltage value according to the correlation between voltage value and harmonic distortion rate. The proposed method for setting harmonic monitoring points uses the fundamental voltage value of each bus collected from traditional smart meters. By comparing the correlation between fundamental voltage index and harmonic voltage distortion rate, it is found that the fundamental voltage index has a strong correlation with harmonic voltage distortion rate. It is proposed to use Pearson correlation coefficient matrix of fundamental voltage index to determine harmonic monitoring nodes through optimization algorithm. In this paper, IEEE-14 node is used to verify this method. The results show that the harmonic level of the whole distribution network can be reflected by setting a few harmonic monitoring points.