Hongming Zhang, Jiawei Ning, Haoyu Yuan, V. Venkatasubramanian
{"title":"Implementing Online Oscillation Monitoring and Forced Oscillation Source Locating at Peak Reliability","authors":"Hongming Zhang, Jiawei Ning, Haoyu Yuan, V. Venkatasubramanian","doi":"10.1109/NAPS46351.2019.9000376","DOIUrl":null,"url":null,"abstract":"This paper introduces a framework of online oscillation monitoring systems and forced oscillation detection & source location tools that Peak Reliability (“PEAK”) has implemented for the Reliability Coordinator (RC) function of the Western Interconnection. The framework consists of four main components: (1) Montana Tech's Modal Analysis Software (MAS) engine; (2) Washington State University's Oscillation Monitor System (OMS) software; (3) Forced Oscillation Detection and Source Location Algorithms (FODSL); and (4) PEAK in-house visualization tool and alarming logic built in PI Processbook. The framework has been validated and applied for real system oscillation studies successfully. Implementation experience and lessons learned will be discussed in the paper.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS46351.2019.9000376","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper introduces a framework of online oscillation monitoring systems and forced oscillation detection & source location tools that Peak Reliability (“PEAK”) has implemented for the Reliability Coordinator (RC) function of the Western Interconnection. The framework consists of four main components: (1) Montana Tech's Modal Analysis Software (MAS) engine; (2) Washington State University's Oscillation Monitor System (OMS) software; (3) Forced Oscillation Detection and Source Location Algorithms (FODSL); and (4) PEAK in-house visualization tool and alarming logic built in PI Processbook. The framework has been validated and applied for real system oscillation studies successfully. Implementation experience and lessons learned will be discussed in the paper.
本文介绍了峰值可靠性(Peak)为西部互联可靠性协调器(RC)功能实现的在线振荡监测系统框架和强制振荡检测与源定位工具。该框架由四个主要部分组成:(1)Montana Tech的模态分析软件(MAS)引擎;(2)华盛顿州立大学振荡监测系统(OMS)软件;(3)强迫振荡检测和源定位算法(FODSL);(4) PI Processbook内置PEAK内部可视化工具和报警逻辑。该框架已被验证并成功应用于实际系统的振动研究。本文将讨论实施的经验和教训。