Nassaj, A., Abiri Jahromi, A., Li, K. et al. (2 more authors) (2023) Linear Distribution System State Estimation by Hybrid Synchronized/Unsynchronized Measurements. In: 2023 IEEE 13th International Workshop on Applied Measurements for Power Systems (AMPS). 13th IEEE International Workshop on Applied Measurements for Power Systems (AMPS 2023), 27-29 Sep 2023, Bern, Switzerland. IEEE ISBN 979-8-3503-1240-9
Abstract
This paper proposes a linear state estimation method for unbalanced distribution systems using available synchronized/unsynchronized measurements. The paper demonstrates that circuit properties can readily be taken advantage of to linearly express power measurements in terms of bus voltages and line currents. This results in a linear distribution system state estimation (LDSSE) process, which involves two stages. In stage one, the three-phase voltage phase angles are estimated using available measurements and network parameters. By formulating voltage/current phasors based on these phase angles, linear equations are developed that enable the estimation of voltage phasors. The linear nature of the proposed method significantly reduces the computation time while maintaining the solution's accuracy. The superiority of the proposed LDSSE method over existing methods is verified using extensive simulation studies conducted on different test feeders.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 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: | Hybrid measurements, linear state estimation, unbalanced distribution system, weighted least squares |
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: | 07 Nov 2023 10:54 |
Last Modified: | 21 Nov 2023 19:22 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/AMPS59207.2023.10297208 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:203129 |