Uncertainty-Informed Threshold Assessment of Model-Based Fault Detection for Modular Multilevel Converters
Author:
Affiliation:
1. Department of Electrical Engineering, Southeast University, Nanjing, China
2. AAU Energy, Aalborg University, Aalborg, Denmark
Funder
National Natural Science Foundation of China
Nanjing Science and Technology Innovation project for overseas students
Start-up Research Fund of Southeast University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8782709/10366862/10540279.pdf?arnumber=10540279
Reference31 articles.
1. Composition and Control of a New Type of Hybrid Voltage-Source Converter Based on DRUs and FB-MMC for Large-Scale Offshore Wind Power Integration and Transmission
2. Energy Control of Modular Multilevel Converters for Drive Applications at Low Frequency Using General Averaging
3. A Novel Detection and Localization Approach of Open-Circuit Switch Fault for the Grid-Connected Modular Multilevel Converter
4. Switch Open-Circuit Fault Detection and Localization for Modular Multilevel Converters Based on Signal Synthesis
5. Real-Time Fault Detection and Identification for MMC Using 1-D Convolutional Neural Networks
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Rethinking Model-Based Fault Detection: Uncertainties, Risks, and Optimization Based on a Multilevel Converter Case Study;IEEE Transactions on Power Electronics;2024-11
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