Monitoring of EPS operation by the state estimation methods

A. Glazunova, I. Kolosok, E. Korkina
{"title":"Monitoring of EPS operation by the state estimation methods","authors":"A. Glazunova, I. Kolosok, E. Korkina","doi":"10.1109/ISGTEurope.2011.6162640","DOIUrl":null,"url":null,"abstract":"State estimation is the most important procedure providing the electric power system control with reliable quality information. The role of state estimation problem is getting more pronounced with transition to a qualitatively new level of technologies and control of power systems based on the wide-area monitoring and control systems (WAMS/WACS). Currently the electric power system (EPS) state estimation methods are developed on the basis of combined application of conventional measurements from SCADA and phasor measurement that are provided by PMU. Practical application of PMUs reveals a number of factors that affect the correctness of their measurements. Therefore, the need arises to verify the PMU measurements. The paper suggests the approaches to validation of PMU measurements on the basis of test equation technique. Consideration is given to the modification of state estimation algorithm by combining the SCADA and PMU measurements.","PeriodicalId":419250,"journal":{"name":"2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGTEurope.2011.6162640","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

State estimation is the most important procedure providing the electric power system control with reliable quality information. The role of state estimation problem is getting more pronounced with transition to a qualitatively new level of technologies and control of power systems based on the wide-area monitoring and control systems (WAMS/WACS). Currently the electric power system (EPS) state estimation methods are developed on the basis of combined application of conventional measurements from SCADA and phasor measurement that are provided by PMU. Practical application of PMUs reveals a number of factors that affect the correctness of their measurements. Therefore, the need arises to verify the PMU measurements. The paper suggests the approaches to validation of PMU measurements on the basis of test equation technique. Consideration is given to the modification of state estimation algorithm by combining the SCADA and PMU measurements.
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
利用状态估计方法对EPS运行进行监测
状态估计是为电力系统控制提供可靠质量信息的重要环节。随着基于广域监控系统(WAMS/WACS)的电力系统技术和控制向质的新水平过渡,状态估计问题的作用日益突出。目前的电力系统状态估计方法是将SCADA的常规测量与PMU提供的相量测量相结合而发展起来的。pmu的实际应用揭示了一些影响其测量正确性的因素。因此,需要验证PMU测量结果。提出了基于测试方程技术的PMU测量结果验证方法。结合SCADA和PMU的测量,考虑了对状态估计算法的改进。
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
Power quality assessment of the Bogotá distribution network focused on voltage sag analysis Increasing security of supply by the use of a Local Power Controller during large system disturbances Realising the potential of smart grids in LV networks. Part 2: Microgeneration Multi-scale dynamic modeling to maximize demand side management Optimal fault location in distribution systems using distributed disturbance recordings
×
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