{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T04:31:24Z","timestamp":1780806684637,"version":"3.54.1"},"reference-count":21,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T00:00:00Z","timestamp":1738800000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"State Grid Hebei Energy Technology Service Co., Ltd.","award":["TSS2023-08"],"award-info":[{"award-number":["TSS2023-08"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>The direct current (DC) cable serves as the link for energy output in photovoltaic (PV) systems. Its degradation can cause arcs, which easily lead to fire accidents. Locating arc faults, however, is challenging. To cope with it, this paper proposes an arc location method based on time reversal. The method has been tried to locate system fault. However, its application in the arc fault location of photovoltaic systems is seldom discussed and needs further research. For this purpose, the voltage waveforms of an arc fault collected at one of the cable ends is reversed. This transformation derives a symmetrical arc fault signal. Afterwards, the reversed signal is injected back into the cable to trace the fault location, which is a symmetrical process of the arc fault signal travelling from its origin to the detection point. Utilizing the energy-focusing characteristics of time reversal, the position with the highest energy in the derived waveform corresponds to the actual fault location. To verify the proposed method, a DC arc fault test is performed to obtain the wave characteristics. The Paukert arc model is chosen based on the tested result. A PV system containing a DC cable with an arc fault is simulated with Simulink with the affecting factors, i.e., grounded resistance, cable length, fault location and sampling frequency. The simulated results demonstrate that the localization error is within 5% in the worst case.<\/jats:p>","DOI":"10.3390\/sym17020240","type":"journal-article","created":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T06:30:29Z","timestamp":1738823429000},"page":"240","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Arc Fault Location for Photovoltaic Distribution Cables Based on Time Reversal"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2833-6599","authenticated-orcid":false,"given":"Jingang","family":"Su","sequence":"first","affiliation":[{"name":"Research Institute of Electric Power Science, State Grid Power Co. of Hebei Province, Shijiazhuang 050021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingwang","family":"Huang","sequence":"additional","affiliation":[{"name":"Research Institute of Electric Power Science, State Grid Power Co. of Hebei Province, Shijiazhuang 050021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Research Institute of Electric Power Science, State Grid Power Co. of Hebei Province, Shijiazhuang 050021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianhai","family":"Pang","sequence":"additional","affiliation":[{"name":"Research Institute of Electric Power Science, State Grid Power Co. of Hebei Province, Shijiazhuang 050021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuwei","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Longxiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanfei","family":"Bai","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4616-5172","authenticated-orcid":false,"given":"Yan","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1038\/s43247-023-01006-x","article-title":"Deploying solar photovoltaic energy first in carbon-intensive regions brings gigatons more carbon mitigations to 2060","volume":"4","author":"Chen","year":"2023","journal-title":"Commun. 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