Bagherzadeh, H, Abedini, M, Davarpanah, M et al. (1 more author) (2022) A novel protection scheme to detect, discriminate, and locate electric faults in photovoltaic arrays using a minimal number of measurements. International Journal of Electrical Power and Energy Systems, 141. 108172. ISSN 0142-0615
Abstract
Quality degradation, power loss, and fire hazards are amongst the consequences of uncleared electric faults within photovoltaic (PV) arrays. This paper proposes an effective protection method for i) detecting electric faults using current variations, ii) discriminating them from other disturbances based on the transient response of PV cells, and iii) locating the faulty string within PV arrays with a minimal number of measurement sensors. To accomplish these, both dynamic and static models of PV cells are taken into account whilst formulating the problem. To evaluate the performance of the proposed method, a prototype solar power plant is simulated under a wide variety of normal and abnormal conditions in PSCAD-EMTDC software. The simulation results verify the proposed method’s high speed and desirable accuracy. Independency from meteorological data and the need for a minimal number of measurement sensors are the salient advantages of the proposed method. Therefore, the implementation of this method would be affordable for PV systems of different scales.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). |
Keywords: | Electric faults, Ground fault, Line-to-line fault, Open-circuit fault, Photovoltaic arrays protection |
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: | 05 Apr 2022 15:21 |
Last Modified: | 30 May 2023 22:37 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ijepes.2022.108172 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:185406 |