Azizi, S orcid.org/0000-0002-9274-1177, Rezaei Jegarluei, M, Sánchez Cortés, J et al. (1 more author) (2023) State of the art, challenges and prospects of wide-area event identification on transmission systems. International Journal of Electrical Power & Energy Systems, 148. 108937. p. 108937. ISSN 0142-0615
Abstract
The proliferation of advanced metering devices such as phasor measurement units (PMUs) along with communication systems readiness has opened new horizons for centralized protection and control of transmission systems. Wide-area event identification (WAEI) is considered an indispensable enabling block to these advanced applications. This paper is aimed at scrutinizing existing WAEI methods and discussing their prospects and shortcomings in improving the situational awareness of complex transmission systems. The disturbances of interest are those that significantly impact system operation and stability, namely short-circuit faults, line outages, and generation outages. The reluctance of system operators to entrust WAEI methods is discussed and linked to the inability of existing methods to deal with real-world challenges such as communication latencies, temporarily incomplete network observability, and the loss of the time synchronization signal. The superimposed-circuit concept is detailed and promoted as a powerful methodology with great unleashed potential for addressing these problems. The paper ends with remarks on the remaining research gaps that need to be addressed to fulfill the needs of power system operators, thus facilitating the uptake of WAEI methods in practice.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Communication latency; Phasor measurement unit (PMU); Superimposed circuits; Wide-area event identification |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Jan 2023 16:51 |
Last Modified: | 10 Jan 2023 16:51 |
Published Version: | http://dx.doi.org/10.1016/j.ijepes.2022.108937 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ijepes.2022.108937 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:195004 |