Adaptive Event Location Technique via Time Difference of Event Arrival

Do In Kim; Austin White; Yong June Shin

doi:10.1109/TPWRS.2019.2927613

Adaptive Event Location Technique via Time Difference of Event Arrival

Do In Kim, Austin White, Yong June Shin

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

This paper presents the phasor measurement unit (PMU) based event localization technique. In order to achieve the event localization in real-time manner, the proposed method is based on the measurement of the time required of the event propagation at each PMU. When an event propagates through the transmission network, there exists a time delay to arrive electrical buses in wide-area condition. As an initiated time of the event is unknown information in the practical power systems, time difference of arrival (TDoA) is used to estimate the event location instead of time of arrival. In this regard, the key point of the proposed localization utilizes the comparison of TDoA features that are composed of entire transmission lines to estimate the propagation path. As a result, the directions and time difference values in the shortest path are developed as features under the assumption of event location. Furthermore, a historical event-based network training method is proposed to substitute the system state estimation and calculation of propagation speed. Finally, the comparisons between calculated and measured TDoA features could estimate the event bus, and real-world test shows successful estimation results.

Original language	English
Article number	8758344
Pages (from-to)	75-84
Number of pages	10
Journal	IEEE Transactions on Power Systems
Volume	35
Issue number	1
DOIs	https://doi.org/10.1109/TPWRS.2019.2927613
Publication status	Published - 2020 Jan

Bibliographical note

Funding Information:
Manuscript received July 28, 2018; revised February 6, 2019 and May 23, 2019; accepted June 29, 2019. Date of publication July 9, 2019; date of current version January 7, 2020. This work was supported in part by the framework of international cooperation program managed by National Research Foundation of Korea under Grant 2017K1A4A3013579 and in part by the National Research Foundation of Korea grant funded by the Ministry of Science, ICT & Future Planning under Grant #NRF-2017R1A2A1A05001022. Paper no. TPWRS-01162-2018. (Corresponding author: Yong-June Shin.) D.-I. Kim and Y.-J. Shin are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: penpony109@gmail.com; yongjune@yonsei.ac.kr).

Publisher Copyright:
© 1969-2012 IEEE.

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/TPWRS.2019.2927613

Cite this

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title = "Adaptive Event Location Technique via Time Difference of Event Arrival",

abstract = "This paper presents the phasor measurement unit (PMU) based event localization technique. In order to achieve the event localization in real-time manner, the proposed method is based on the measurement of the time required of the event propagation at each PMU. When an event propagates through the transmission network, there exists a time delay to arrive electrical buses in wide-area condition. As an initiated time of the event is unknown information in the practical power systems, time difference of arrival (TDoA) is used to estimate the event location instead of time of arrival. In this regard, the key point of the proposed localization utilizes the comparison of TDoA features that are composed of entire transmission lines to estimate the propagation path. As a result, the directions and time difference values in the shortest path are developed as features under the assumption of event location. Furthermore, a historical event-based network training method is proposed to substitute the system state estimation and calculation of propagation speed. Finally, the comparisons between calculated and measured TDoA features could estimate the event bus, and real-world test shows successful estimation results.",

author = "Kim, {Do In} and Austin White and Shin, {Yong June}",

note = "Funding Information: Manuscript received July 28, 2018; revised February 6, 2019 and May 23, 2019; accepted June 29, 2019. Date of publication July 9, 2019; date of current version January 7, 2020. This work was supported in part by the framework of international cooperation program managed by National Research Foundation of Korea under Grant 2017K1A4A3013579 and in part by the National Research Foundation of Korea grant funded by the Ministry of Science, ICT & Future Planning under Grant #NRF-2017R1A2A1A05001022. Paper no. TPWRS-01162-2018. (Corresponding author: Yong-June Shin.) D.-I. Kim and Y.-J. Shin are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: penpony109@gmail.com; yongjune@yonsei.ac.kr). Publisher Copyright: {\textcopyright} 1969-2012 IEEE.",

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N2 - This paper presents the phasor measurement unit (PMU) based event localization technique. In order to achieve the event localization in real-time manner, the proposed method is based on the measurement of the time required of the event propagation at each PMU. When an event propagates through the transmission network, there exists a time delay to arrive electrical buses in wide-area condition. As an initiated time of the event is unknown information in the practical power systems, time difference of arrival (TDoA) is used to estimate the event location instead of time of arrival. In this regard, the key point of the proposed localization utilizes the comparison of TDoA features that are composed of entire transmission lines to estimate the propagation path. As a result, the directions and time difference values in the shortest path are developed as features under the assumption of event location. Furthermore, a historical event-based network training method is proposed to substitute the system state estimation and calculation of propagation speed. Finally, the comparisons between calculated and measured TDoA features could estimate the event bus, and real-world test shows successful estimation results.

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Adaptive Event Location Technique via Time Difference of Event Arrival

Abstract

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