Azizi, S orcid.org/0000-0002-9274-1177 and Sanaye-Pasand, M (2017) From Available Synchrophasor Data to Short-Circuit Fault Identity: Formulation and Feasibility Analysis. IEEE Transactions on Power Systems, 32 (3). pp. 2062-2071. ISSN 0885-8950
Abstract
This paper proposes a novel formulation for determining the short-circuit fault identity, that is the fault type, faulted line and exact fault distance on it, by using available synchrophasor data. A simple and yet quite effective procedure is developed to model the fault area as a stand-alone sub-system. Thanks to phasor measurement units (PMUs), the proposed technique does not require the operating point and model of the portions being replaced. This greatly alleviates the complexity and technical problems involved in modeling the entire power system, as enforced by existing wide-area methods. A couple of effective theorems in Circuit Theory are exploited in a way as to make the pre-fault bus impedance matrix applicable in the post-fault condition. The obtained fault equations are readily solved by the least-squares method to provide a closed-form solution for the fault distance. Two necessary and sufficient conditions are introduced to assess the fault location feasibility by a given set of PMUs. High accuracy is achieved since the calculations merely involve sound equations remaining after removing erroneous measurements of instrument transformers. The proposed method is successfully validated by more than 10000 simulation cases conducted on the New England 39-bus and 118-bus test systems.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 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. |
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: | 28 Feb 2019 10:10 |
Last Modified: | 28 Feb 2019 12:36 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Identification Number: | 10.1109/TPWRS.2016.2608927 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143049 |