基于电力系统模型参数估计的高压输电线路自适应故障定位

IF 0.5 Q4 PHYSICS, APPLIED Latvian Journal of Physics and Technical Sciences Pub Date : 2023-08-01 DOI:10.2478/lpts-2023-0021
I. Zālītis, A. Dolgicers, J. Kozadajevs, J. Berkolds
{"title":"基于电力系统模型参数估计的高压输电线路自适应故障定位","authors":"I. Zālītis, A. Dolgicers, J. Kozadajevs, J. Berkolds","doi":"10.2478/lpts-2023-0021","DOIUrl":null,"url":null,"abstract":"Abstract This paper presents an adaptive transmission line fault location method, which incorporates fault location devices at both line ends and utilises data import from a supervisory control and data acquisition system without strictly requiring data synchronisation. The developed method aims at achieving a higher degree of robustness, adaptiveness and accuracy. The adaptiveness is achieved by dynamic updating of mathematical models used on the basis of network-wide information, such as data on the state of circuit-breakers and apparent power at load and generation nodes. The robustness and accuracy are enhanced by incorporating two stages of identification of model parameters with the goal of reducing the decision variable space for the stage identifying fault parameters. Furthermore, in addition to utilisation of all measurements available at a particular substation, the developed method partially employs the measurements from the other end of the line by means of result cross-checks, but does not require a full data set, unlike deterministic-model-based methods. An optimisation-based approach, redundancy on the basis of extended measurement set, and cross-checks reduce the risk of fault location errors due to measurement errors or “voids” in the data available. Testing of the developed method demonstrates its accuracy and robustness in a wide range of pre-fault and fault regime scenarios, even when considering various pre-fault contingencies.","PeriodicalId":43603,"journal":{"name":"Latvian Journal of Physics and Technical Sciences","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive Fault Locator for High-Voltage Transmission Lines Based on the Estimation of Power System Model Parameters\",\"authors\":\"I. Zālītis, A. Dolgicers, J. Kozadajevs, J. Berkolds\",\"doi\":\"10.2478/lpts-2023-0021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This paper presents an adaptive transmission line fault location method, which incorporates fault location devices at both line ends and utilises data import from a supervisory control and data acquisition system without strictly requiring data synchronisation. The developed method aims at achieving a higher degree of robustness, adaptiveness and accuracy. The adaptiveness is achieved by dynamic updating of mathematical models used on the basis of network-wide information, such as data on the state of circuit-breakers and apparent power at load and generation nodes. The robustness and accuracy are enhanced by incorporating two stages of identification of model parameters with the goal of reducing the decision variable space for the stage identifying fault parameters. Furthermore, in addition to utilisation of all measurements available at a particular substation, the developed method partially employs the measurements from the other end of the line by means of result cross-checks, but does not require a full data set, unlike deterministic-model-based methods. An optimisation-based approach, redundancy on the basis of extended measurement set, and cross-checks reduce the risk of fault location errors due to measurement errors or “voids” in the data available. Testing of the developed method demonstrates its accuracy and robustness in a wide range of pre-fault and fault regime scenarios, even when considering various pre-fault contingencies.\",\"PeriodicalId\":43603,\"journal\":{\"name\":\"Latvian Journal of Physics and Technical Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Latvian Journal of Physics and Technical Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/lpts-2023-0021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Latvian Journal of Physics and Technical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/lpts-2023-0021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, APPLIED","Score":null,"Total":0}
引用次数: 0

摘要

摘要本文提出了一种自适应输电线路故障定位方法,该方法在线路两端结合了故障定位设备,并利用从监控和数据采集系统导入的数据,而无需严格要求数据同步。所开发的方法旨在实现更高程度的鲁棒性、适应性和准确性。自适应性是通过动态更新基于全网信息使用的数学模型来实现的,例如关于断路器状态的数据以及负载和发电节点的视在功率。通过结合模型参数识别的两个阶段来增强鲁棒性和准确性,目的是减少识别故障参数阶段的决策变量空间。此外,除了利用特定变电站的所有可用测量值外,与基于确定性模型的方法不同,所开发的方法通过结果交叉检查部分利用了线路另一端的测量值,但不需要完整的数据集。基于优化的方法、基于扩展测量集的冗余和交叉检查降低了由于测量误差或可用数据中的“空白”而导致的故障定位误差的风险。对所开发方法的测试表明,即使在考虑各种故障前突发事件的情况下,该方法在广泛的故障前和故障状态场景中也具有准确性和稳健性。
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
Adaptive Fault Locator for High-Voltage Transmission Lines Based on the Estimation of Power System Model Parameters
Abstract This paper presents an adaptive transmission line fault location method, which incorporates fault location devices at both line ends and utilises data import from a supervisory control and data acquisition system without strictly requiring data synchronisation. The developed method aims at achieving a higher degree of robustness, adaptiveness and accuracy. The adaptiveness is achieved by dynamic updating of mathematical models used on the basis of network-wide information, such as data on the state of circuit-breakers and apparent power at load and generation nodes. The robustness and accuracy are enhanced by incorporating two stages of identification of model parameters with the goal of reducing the decision variable space for the stage identifying fault parameters. Furthermore, in addition to utilisation of all measurements available at a particular substation, the developed method partially employs the measurements from the other end of the line by means of result cross-checks, but does not require a full data set, unlike deterministic-model-based methods. An optimisation-based approach, redundancy on the basis of extended measurement set, and cross-checks reduce the risk of fault location errors due to measurement errors or “voids” in the data available. Testing of the developed method demonstrates its accuracy and robustness in a wide range of pre-fault and fault regime scenarios, even when considering various pre-fault contingencies.
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
CiteScore
1.50
自引率
16.70%
发文量
41
审稿时长
5 weeks
期刊介绍: Latvian Journal of Physics and Technical Sciences (Latvijas Fizikas un Tehnisko Zinātņu Žurnāls) publishes experimental and theoretical papers containing results not published previously and review articles. Its scope includes Energy and Power, Energy Engineering, Energy Policy and Economics, Physical Sciences, Physics and Applied Physics in Engineering, Astronomy and Spectroscopy.
期刊最新文献
Characterisation of Hybrid Photodetector Signals for Satellite Laser Ranging Application Investigation of Cenosphere-Based Lightweight Ceramic Matrixless Syntactic Foam Through Spark Plasma Sintering Smart Grid Standardisation: Contributions and Opportunities of EU Horizon 2020 Projects A Technical and Economic Study of Sustainable Power Generation Backup Comparative Analysis of Thermal Characteristics: Virgin Polyacrylonitrile (PAN) Versus Electrospun Pan Nanofibre Mats
×
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