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A Novel Observer-Centric Approach for Detecting Faults in Islanded AC Microgrids with Uncertainties
This paper proposes a strategy based on observers and residuals for detecting internal faults in grid-forming inverters with power-sharing coordination.
Real-Time Power System Event Detection: A Novel Instance Selection Approach
Instance selection is a vital technique for energy big data analytics.
Online Dictionary Learning Based Fault and Cyber Attack Detection for Power Systems
This paper deals with the event and intrusion detection problem by leveraging a stream data mining classifier (Hoeffding adaptive tree) with semi-supervised learning techniques to distinguish cyber-attacks from regular system perturbations accurately.
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