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This review aims to provide a comprehensive literature overview of the field of fault diagnosis in high-voltage direct current (HVDC) transmission systems. The goal is to summarize and analyze the current state, trends, and key issues in this area. A retrospective examination of the developmental history reveals significant progress in technical innovations related to fault diagnosis in HVDC transmission systems. Additionally, emerging technologies such as big data and artificial intelligence have been introduced, carrying significant implications for the advancement of fault diagnosis in these systems. The paper discusses and elucidates various fault diagnosis methods proposed for HVDC transmission systems, outlining the specific implementation principles and advantages of each approach.
Zhang et al. (Thu,) studied this question.