{"title":"Evaluation method of nonlinear customer harmonic emission level based on correlation vector machine","authors":"Xiao Chang, Shifeng Zhang, Jinhao Wang","doi":"10.1109/WCEEA56458.2022.00056","DOIUrl":null,"url":null,"abstract":"A high cable ratio of urban distribution network is easy to cause the problem of harmonic resonance. Nonlinear customers inject harmonics into the power grid in operation, resulting in harmonic issues. This study proposes a method of harmonic emission level based on correlation vector machine regression. Firstly, the Norton equivalent circuit of customer is established. The harmonic impedance at the system side is obtained via the correlation vector machine regression model utilizing the metrical data of the common connection point as the input vector, and the harmonic emission level of nonlinear customers is then estimated. The proposed method overcomes the problems of support vector machine method, kernel function must meet Mercer condition, and parameters are difficult to determine. The effectiveness 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":"44 1","pages":"0"},"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/WCEEA56458.2022.00056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

城市配电网电缆比过高,容易引起谐波共振问题。在电网运行过程中,非线性用户向电网注入谐波,产生谐波问题。提出了一种基于相关向量机回归的谐波发射电平检测方法。首先,建立了客户的诺顿等效电路。利用公共连接点的测量数据作为输入向量,通过相关向量机回归模型得到系统侧谐波阻抗,进而估计非线性用户的谐波发射水平。该方法克服了支持向量机方法存在的核函数必须满足Mercer条件、参数难以确定等问题。仿真分析验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Evaluation method of nonlinear customer harmonic emission level based on correlation vector machine
A high cable ratio of urban distribution network is easy to cause the problem of harmonic resonance. Nonlinear customers inject harmonics into the power grid in operation, resulting in harmonic issues. This study proposes a method of harmonic emission level based on correlation vector machine regression. Firstly, the Norton equivalent circuit of customer is established. The harmonic impedance at the system side is obtained via the correlation vector machine regression model utilizing the metrical data of the common connection point as the input vector, and the harmonic emission level of nonlinear customers is then estimated. The proposed method overcomes the problems of support vector machine method, kernel function must meet Mercer condition, and parameters are difficult to determine. The effectiveness of the proposed method is verified by simulation analysis.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Analysis of the relationship between contact deformation and contact force of bearing roller based on plastic deformation Simulation of Shunt Active Power Filter Basded on Adaptive Inverse Control Research on Small Wave Power Generation Device and Key Technology Studies on the wall currents distributions of elliptical waveguide Research on the Application of BIM Technology in Construction Cost Management
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1