Data-driven fault detection and isolation in DC microgrids without prior fault data: a transfer learning approach

• Main Authors: Wang, Ting, Zhang, Chunyan, Hao, Zhiguo, Monti, Antonello, Ponci, Ferdinanda
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2023
• 主題: Engineering::Electrical and electronic engineering; DC Microgrids; Current Derivatives
• 在線閱讀: https://hdl.handle.net/10356/169004

The lack of fault data is the major constraint on data-driven fault detection and isolation schemes for DC microgrids. To solve this problem, this paper develops an adversarial-based deep transfer learning model that can detect and classify short-circuit faults in DC microgrids without using histori...