A fault detection and location algorithm for the LVDC interconnection network in rural area
Liu, Chengwei and Rodriguez-Bernuz, Joan Marc and Liu, Di and Yang, Saizhao and Li, Yitong and Hong, Qiteng and Junyent-Ferré, Adrià (2024) A fault detection and location algorithm for the LVDC interconnection network in rural area. IET Generation, Transmission & Distribution. ISSN 1751-8695 (https://doi.org/10.1049/gtd2.13293)
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Abstract
Low voltage DC (LVDC) microgrids (MGs) can be linked together through an interconnection network to enhance the utilization of their energy resources in remote locations, particularly in rural low-income areas. However, the identification of the fault is challenging due to the fast fault transients and equipment limitations, where there are no sensors and DC circuit breakers (DCCBs) in the lines. To solve this problem, this article proposes a fault detection and location algorithm without requiring extra sensors and DCCBs in lines. The proposed algorithm uses the sensors of the interface converters to detect the fault. Following this, a coordinated current injection method is used to identify the faulty element by coordinating converters with disconnectors. This process employs two strategies “weight check” and “scope check” to minimize the time and the number of actions. The algorithm is robust to various fault impedance, fault types and network topology modifications. The effectiveness of the algorithm is validated through a series of simulation case studies.
ORCID iDs
Liu, Chengwei, Rodriguez-Bernuz, Joan Marc, Liu, Di ORCID: https://orcid.org/0000-0002-1180-5248, Yang, Saizhao, Li, Yitong, Hong, Qiteng ORCID: https://orcid.org/0000-0001-9122-1981 and Junyent-Ferré, Adrià;-
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Item type: Article ID code: 90856 Dates: DateEvent11 October 2024Published11 October 2024Published Online24 September 2024Accepted22 May 2024SubmittedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 15 Oct 2024 10:57 Last modified: 21 Nov 2024 01:25 URI: https://strathprints.strath.ac.uk/id/eprint/90856