Model-Based Fault Detection and Isolation in DC Microgrids Using Optimal Observers
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影响因子：5.462
DOI码：10.1109/JESTPE.2020.3045418
发表刊物：IEEE Journal of Emerging and Selected Topics in Power Electronics
关键字：DC microgrids, fault detection, observers, power system protection, system modeling.
摘要：DC microgrids require advanced protection techniques for fault detection and isolation (FDI). In this work, an FDI method able to respond to different types of component faults is developed based on system modeling. First, the state-space representation of a multiterminal dc microgrid with component faults is derived. Then, an FDI function based on H−/H∞ observers is designed. To achieve the desired selectivity in fault isolation, the linear matrix inequality (LMI) optimization approach is adopted in the observer design. The performance of the proposed FDI method is verified under the real-time (RT) simulation of a three-terminal low-voltage dc microgrid and with a small-scale laboratory dc grid. The proposed FDI method is proved to be effective to detect and isolate different faults in dc microgrids with a response time of 1 ms.
论文类型：期刊论文
学科门类：工学
文献类型：J
卷号：9
期号：5
页面范围：5613-5630
ISSN号：2168-6777
是否译文：否
发表时间：2020-12-17
收录刊物：SCI
发布期刊链接：https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6245517