Artificial Intelligence Based Control Strategy of a Three-Phase Neutral-Point Clamped Back-to-Back Power Converter with Ensured Power Quality for WECS

Author:

Uddin M. Nasir1,Tabrizi Yazdan H.1

Affiliation:

1. Lakehead University, LU-GC program,Dept. of Electrical Engineering,Barrie,ON,Canada,L4M 3X9

Publisher

IEEE

Cited by 4 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. Optimum Cost and Eco-Friendly Power Management in a Micro-Grid, Based on Multi-Agent Reinforcement Learning;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03

2. Multi-Agent Reinforcement Learning-Based Maximum Power Point Tracking Approach to Fortify PMSG-Based WECSs;2023 IEEE Industry Applications Society Annual Meeting (IAS);2023-10-29

3. A Model-Free Multi-Agent Reinforcement Learning Approach to Reach a Robust, Optimal, and Environment-Friendly Power Management in a Micro-Grid;2023 IEEE Industry Applications Society Annual Meeting (IAS);2023-10-29

4. Performance Analysis of an Adaptive MPPT Control for a Grid-connected PV Solar System;2022 IEEE 1st Industrial Electronics Society Annual On-Line Conference (ONCON);2022-12-09

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