A fault detection method for DC lines in VSC-HVDC system based on current correlation

Jian Liu, N. Tai, C. Fan, Shi Chen, Pan Wu
{"title":"A fault detection method for DC lines in VSC-HVDC system based on current correlation","authors":"Jian Liu, N. Tai, C. Fan, Shi Chen, Pan Wu","doi":"10.1109/PESGM.2016.7741687","DOIUrl":null,"url":null,"abstract":"High-voltage direct current system based on voltage source converters (VSC-HVDC) is widely recognized as a feasible solution to cope with increasing electricity demand and integrate renewable energy sources. One of the most important issues still to be addressed is the protection of the system under DC line fault, especially for the situations using overhead lines due to higher fault frequency. This paper proposes a new fault detection method for DC line in VSC-HVDC system using the correlation of currents at DC-link capacitor branch and DC line end. In this approach, Pearson correlation coefficient is used to measure the correlation. Fault detection can be achieved easily by calculating the Pearson correlation coefficients at both ends of DC line. Simulation results using PSCAD/EMTDC demonstrate that the proposed method is able to detect the DC line fault with high selectivity and high robustness to fault resistance and noise, and it is suitable for multi-terminal VSC-HVDC system.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Power and Energy Society General Meeting (PESGM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESGM.2016.7741687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

High-voltage direct current system based on voltage source converters (VSC-HVDC) is widely recognized as a feasible solution to cope with increasing electricity demand and integrate renewable energy sources. One of the most important issues still to be addressed is the protection of the system under DC line fault, especially for the situations using overhead lines due to higher fault frequency. This paper proposes a new fault detection method for DC line in VSC-HVDC system using the correlation of currents at DC-link capacitor branch and DC line end. In this approach, Pearson correlation coefficient is used to measure the correlation. Fault detection can be achieved easily by calculating the Pearson correlation coefficients at both ends of DC line. Simulation results using PSCAD/EMTDC demonstrate that the proposed method is able to detect the DC line fault with high selectivity and high robustness to fault resistance and noise, and it is suitable for multi-terminal VSC-HVDC system.
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
基于电流相关性的直流直流线路故障检测方法
基于电压源变换器的高压直流系统(VSC-HVDC)被广泛认为是应对日益增长的电力需求和整合可再生能源的可行方案。直流线路故障下的系统保护是目前需要解决的重要问题之一,特别是在使用架空线路的情况下,由于故障频率较高。本文提出了一种利用直流电容支路与直流线路端电流的相关性对直流线路进行故障检测的新方法。在这种方法中,使用Pearson相关系数来衡量相关性。通过计算直流线路两端的Pearson相关系数,可以很容易地实现故障检测。基于PSCAD/EMTDC的仿真结果表明,该方法对直流线路故障的检测具有较高的选择性和对故障电阻和噪声的鲁棒性,适用于多端直流直流系统。
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
自引率
0.00%
发文量
0
期刊最新文献
A laboratory experiment of single machine synchronous islanding using PMUs and Raspberry Pi — A platform for multi-machine islanding Distributed vs. concentrated rapid frequency response provision in future great britain system Analysis of IEEE C37.118 and IEC 61850-90-5 synchrophasor communication frameworks A Review of probabilistic methods for defining reserve requirements DC fault protection strategy considering DC network partition
×
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