Model-Free Deep Reinforcement Learning-based Current Control for the Dual-Purpose dc-dc/ac Power Converter-Reference-Cited by-同舟云学术

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Model-Free Deep Reinforcement Learning-based Current Control for the Dual-Purpose dc-dc/ac Power Converter

Published:2024-06-24 Issue: Volume:4 Page:1-6
ISSN:
Container-title:2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
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Author:

Gutiérrez-Escalona Javier¹^ORCID,Roncero-Clemente Carlos¹^ORCID,Husev Oleksandr²^ORCID,Matiushkin Oleksandr²^ORCID,Barrero-González Fermin¹^ORCID,González-Romera Eva¹^ORCID

Affiliation:

1. University of Extremadura,Electrical, Electronic and Control Engineering Department,Badajoz,Spain

2. Tallin University of Technology,Department of Electrical Power Engineering and Mechatronics,Tallinn,Estonia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10604287/10602793/10604305.pdf?arnumber=10604305

Reference21 articles.

1. Control of Power Converters in AC Microgrids

2. Advanced LVDC Electrical Power Architectures and Microgrids: A step toward a new generation of power distribution networks.

3. Are Microgrids the Future of Energy?: DC Microgrids from Concept to Demonstration to Deployment

4. Low-Voltage Bipolar-Type DC Microgrid for Super High Quality Distribution

5. Novel Concept of Solar Converter With Universal Applicability for DC and AC Microgrids

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