A Model-Free Switching and Control Method for Three-Level Neutral Point Clamped Converter Using Deep Reinforcement Learning
Author:
Affiliation:
1. Department of Electrical Engineering, École de technologie supérieure (ÉTS), Montreal, Canada
2. Institut de recherche d'Hydro-Québec (IREQ), Varennes, Canada
Funder
OPAL-RT Technologies, QC, Canada
Institut de recherche d’Hydro-Québec (IREQ), QC, Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10261177.pdf?arnumber=10261177
Reference50 articles.
1. Floating Weighting Factors ANN-MPC Based on Lyapunov Stability for Seven-Level Modified PUC Active Rectifier
2. Model predictive control of microgrids – An overview
3. Supervised Learning Model Predictive Control Trained by ABC Algorithm for Common-Mode Voltage Suppression in NPC Inverter
4. ANN Based Model-Free Sliding Mode Control for Grid-Connected Compact Multilevel Converters: An Experimental Validation
5. Latest Advances of Model Predictive Control in Electrical Drives—Part II: Applications and Benchmarking With Classical Control Methods
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