Neural-Predictor-based Data-Driven Predictive Control for 100kVA, 4.16/0.48 kV Solid-State Transformer for Smart Distribution Grids-Reference-Cited by-同舟云学术

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Neural-Predictor-based Data-Driven Predictive Control for 100kVA, 4.16/0.48 kV Solid-State Transformer for Smart Distribution Grids

Published:2023-10-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Energy Conversion Congress and Exposition (ECCE)
language:
Short-container-title:

Author:

Ngome P.G. Ipoum¹,Mon-Nzongo D. L.²,Tang Jinquan³,Lai Chunyan⁴,Rodriguez Jose⁵,Tao Jin²

Affiliation:

1. Fuzhou Univ & Pearlelectric Co,Dept of Electrical Engineering,Fuzhou & Guangzhou,China

2. Fuzhou University,Dept. of Electrical Engineering,Fuzhou,China

3. Pearlelectric Co. Ltd,R&D Department,Guangzhou,China

4. Concordia University,Dept. of Electrical Engineering,Quebec,Canada

5. Universidad San Sebastian,Faculty of Electrical Engineering,Santiago,Chile

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10361838/10361943/10362116.pdf?arnumber=10362116

Reference12 articles.

1. Design of a Medium Voltage Mobile Utilities Support Equipment based Solid State Transformer with 10 kV SiC MOSFETs for Grid Interconnection;Anurag

2. Solid State Transformer for Medium Voltage Grid Applications Enabled by 10 kV SiC MOSFET based Three-Phase Converter Systems

3. Model Predictive Control with Space-Vector Modulation for a Grid-Connected Converter with an LCL-Filter

4. Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges

5. Neural Predictor-Based Dynamic Surface Predictive Control for Power Converters

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