A Novel Semi-Supervised Data-Driven Stability Monitoring Method Based on EMD and SGAN for DC Microgrids
Author:
Affiliation:
1. College of Electrical Engineering, Zhejiang University,Hangzhou,China
2. College of Electrical Engineering, Zhejiang University,ZJU-Hangzhou Global Scientific and Technological Innovation Center,Hangzhou,China
Funder
National Natural Science Foundation of China
Zhejiang Provincial Natural Science Foundation
Delta Electronics Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10394673/10394683/10395143.pdf?arnumber=10395143
Reference20 articles.
1. A comprehensive review on renewable energy integration for combined heat and power production
2. Locally-distributed and globally-decentralized control for hybrid series-parallel microgrids
3. Protection of Low-Voltage DC Microgrids
4. Optimizing the Roles of Unit and Non-unit Protection Methods Within DC Microgrids
5. Real-Time Stability Analysis and Control of Multiconverter Systems by Using MIMO-Identification Techniques
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