Intelligent Control of an Active Front-End Converter: Deep Reinforcement Learning Approach

Oswaldo Menendez, Diana Lopez-Caiza, Alvaro Prado, Freddy Flores-Bahamonde, José Rodríguez

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

Resumen

Deep reinforcement learning-based algorithms exhibit significant potential in developing robust model-free control systems for the next power converter generation. This work presents a control strategy based on a deep reinforcement learning (DRL) framework to operate an Active Front-End (AFE). The research's originality lies in finding an optimal control policy that leverages DRL's capabilities to enhance the AFE control performance, all without prior information regarding power converter dynamics and parameters. Moreover, the control strategy is designed to ensure the adaptability of the converter across diverse operational scenarios. To this end, multiple intelligent agents are developed, trained, tested, and validated using the AFE converter dynamics. Simulated results demonstrated that the proposed control methodology exhibits robustness, effectively handling uncertainties associated with the converter. Also, the empirical findings reveal that the proposed control strategy presents a solid performance in the current control and DC-link voltage control tasks, with a maximum Total Harmonic Distortion of 4.25% for 10 kHz sampling frequency.

Idioma originalInglés
Título de la publicación alojadaCOBEP 2023 - 17th Brazilian Power Electronics Conference and SPEC 2023 - 8th IEEE Southern Power Electronics Conference, Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350321128
DOI
EstadoPublicada - 2023
Evento8th Southern Power Electronics Conference and the 17th Brazilian Power Electronics Conference, SPEC / COBEP 2023 - Florianopolis, Brasil
Duración: 26 nov. 202329 nov. 2023

Serie de la publicación

NombreCOBEP 2023 - 17th Brazilian Power Electronics Conference and SPEC 2023 - 8th IEEE Southern Power Electronics Conference, Proceedings

Conferencia

Conferencia8th Southern Power Electronics Conference and the 17th Brazilian Power Electronics Conference, SPEC / COBEP 2023
País/TerritorioBrasil
CiudadFlorianopolis
Período26/11/2329/11/23

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica
  • Ingeniería mecánica
  • Control y optimización

Huella

Profundice en los temas de investigación de 'Intelligent Control of an Active Front-End Converter: Deep Reinforcement Learning Approach'. En conjunto forman una huella única.

Citar esto