Real-time AI-based Fault Detection and Localization in Power Electronics Dominated Grids
Author:
Affiliation:
1. University of Illinois,Department of Electrical & Computer Engineering,Chicago,IL,USA
2. Kansas State University,Department of Computer Science,Manhattan,KS,USA
Funder
Qatar National Research Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10428118/10428123/10428966.pdf?arnumber=10428966
Reference20 articles.
1. On the Stability of Power Electronics-Dominated Systems: Challenges and Potential Solutions
2. Remote Fault Localization Based on Synchronized Two-Sided Measurement: Study of the Algorithm and the Prototype Digital Device
3. An Analytical Fault Diagnosis Method: Component Relation and Event Relationship Description Matrices
4. A Transfer Learning-Based Method to Detect Insulator Faults of High-Voltage Transmission Lines via Aerial Images: Distinguishing Intact and Broken Insulator Images
5. Detection of Faults and Attacks Including False Data Injection Attack in Smart Grid Using Kalman Filter
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1. AI-based Coordination and Optimal Power Sharing of Grid Forming Inverters;2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE);2024-06-18
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