Salehi Dobakhshari, A, Azizi, S orcid.org/0000-0002-9274-1177, Paolone, M et al. (1 more author) (2019) Ultra Fast Linear State Estimation Utilizing SCADA Measurements. IEEE Transactions on Power Systems, 34 (4). pp. 2622-2631. ISSN 0885-8950
Abstract
This paper presents a closed-form and non-iterative solution for the long-studied SCADA-based state etimation problem, where unsynchronized traditional measurements from remote terminal units are used. In this regard, a novel reformulation of the problem is introduced, where unknowns are expressed as complex variables in terms of unsynchronized SCADA measurements. To this end, it is assumed that bus voltage amplitudes as well as current amplitudes and active and reactive power flows/injections are available. The resulting system of equations is solved by the classic linear weighted least-squares method. In contrast to the traditional approaches, several drawbacks, such as initialization, and issues with convergence (especially for large-scale systems) are resolved, without using synchrophasors. The method is validated on a 3-bus test network and applied to the IEEE 118-bus test system, as well as 1341-bus and 9241-bus European high-voltage transmission networks.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 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: | 26 Feb 2019 10:44 |
Last Modified: | 02 Jul 2019 20:49 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Identification Number: | 10.1109/TPWRS.2019.2894518 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:142961 |