Detection of Frequency Deviations for Monitoring of Power Systems

F. R. S. Sevilla, Jean Dobrowolski, A. Obushevs, P. Korba
{"title":"Detection of Frequency Deviations for Monitoring of Power Systems","authors":"F. R. S. Sevilla, Jean Dobrowolski, A. Obushevs, P. Korba","doi":"10.1109/ANZCC47194.2019.8945666","DOIUrl":null,"url":null,"abstract":"In this work an algorithm for identification of power system frequency deviation is presented. The proposed approach can be used to monitor frequency measurements from syncrophasor measurement units (PMU) and to store data only for important events and save storage in the local server. The detection algorithm use a sliding window that rise a flag if the measured frequency deviates from a predefined set point. If the alarm flag is constant over several sliding windows, an event is captured and locally stored for further analysis. To demonstrate the effectiveness of the proposed approach, real PMU measurements from the Swiss power system are used as input.","PeriodicalId":322243,"journal":{"name":"2019 Australian & New Zealand Control Conference (ANZCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Australian & New Zealand Control Conference (ANZCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZCC47194.2019.8945666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this work an algorithm for identification of power system frequency deviation is presented. The proposed approach can be used to monitor frequency measurements from syncrophasor measurement units (PMU) and to store data only for important events and save storage in the local server. The detection algorithm use a sliding window that rise a flag if the measured frequency deviates from a predefined set point. If the alarm flag is constant over several sliding windows, an event is captured and locally stored for further analysis. To demonstrate the effectiveness of the proposed approach, real PMU measurements from the Swiss power system are used as input.
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
电力系统监测中频率偏差的检测
本文提出了一种电力系统频率偏差识别算法。该方法可用于同步相量测量单元(PMU)的频率测量监测,并仅为重要事件存储数据,节省本地服务器的存储空间。检测算法使用滑动窗口,如果测量频率偏离预定义的设定值,则上升标志。如果警报标志在多个滑动窗口上保持不变,则捕获事件并在本地存储以供进一步分析。为了证明所提出方法的有效性,使用来自瑞士电力系统的真实PMU测量作为输入。
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
Psychoacoustically Motivated Active Noise Control at Remote Locations Generalized Simulated Annealing with Sequentially Modified Cost Function for Combinatorial optimization Problems Positive-Real Truncated Balanced Realization based Frequency-Weighted Model reduction Interval Switched Positive Observers for Discrete-Time Switched Positive Systems under Arbitrary Switching A Fast Session Key Generation Scheme for LoRaWAN
×
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