Rezaei Jegarluei, M orcid.org/0000-0002-6770-7161, Salehi Dobakhshari, A and Azizi, S orcid.org/0000-0002-9274-1177 (2022) Reducing the Computational Complexity of Wide-Area Backup Protection in Power Systems. IEEE Transactions on Power Delivery, 37 (3). pp. 2421-2424. ISSN 0885-8977
Abstract
Wide-area backup protection (WABP) refers to the identification of the faulted line amongst candidate lines by using sparse PMU measurements. This letter proposes a technique for reducing the computational complexity of WABP methods that employ the superimposed-circuit concept. A proposition is presented and proved to justify that the system of equations pertaining to every candidate line can be directly obtained from the bus impedance matrix of the pre-fault power system. This is in contrast with existing WABP methods requiring the establishment of as many distinct bus impedance matrices as the number of candidate lines in the power system. The applicability and effectiveness of the proposed technique are verified by conducting more than 20,000 simulations on the IEEE 39-bus test system.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Bus impedance matrix , nodal injections , superimposed circuit , wide area backup protection (WABP) |
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: | 31 Jan 2022 10:00 |
Last Modified: | 21 Mar 2023 01:25 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/TPWRD.2022.3147694 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:182826 |