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Design and implementation of a universal converter for microgrid applications using approximate dynamic programming and artificial neural networks.
Suresh, K; Parimalasundar, E; Kumar, B Hemanth; Singh, Arvind R; Bajaj, Mohit; Tuka, Milkias Berhanu.
Afiliación
  • Suresh K; Department of Electrical and Electronics Engineering, Christ Deemed to Be University, Bangalore, India.
  • Parimalasundar E; Department of Electrical and Electronics Engineering, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Tirupati, India.
  • Kumar BH; Department of Electrical and Electronics Engineering, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Tirupati, India.
  • Singh AR; Department of Electrical Engineering, School of Physics and Electronic Engineering, Hanjiang Normal University, Hubei Shiyan, 442000, People's Republic of China. arvindsinghwce@gmail.com.
  • Bajaj M; Department of Electrical Engineering, Graphic Era (Deemed to Be University), Dehradun, 248002, India. mb.czechia@gmail.com.
  • Tuka MB; Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan. mb.czechia@gmail.com.
Sci Rep ; 14(1): 20899, 2024 Sep 08.
Article en En | MEDLINE | ID: mdl-39245750
ABSTRACT
This paper introduces a novel design for a universal DC-DC and DC-AC converter tailored for DC/AC microgrid applications using Approximate Dynamic Programming and Artificial Neural Networks (ADP-ANN). The proposed converter is engineered to operate efficiently with both low-power battery and single-phase AC supply, utilizing identical side terminals and switches for both chopper and inverter configurations. This innovation reduces component redundancy and enhances operational versatility. The converter's design emphasizes minimal switch usage while ensuring efficient conversion to meet diverse load requirements from battery or AC sources. A conceptual example illustrates the design's principles, and comprehensive analyses compare the converter's performance across various operational modes. A test bench model, rated at 3000W, demonstrates the converter's efficacy in all five operational modes with AC/DC inputs. Experimental results confirm the system's robustness and adaptability, leveraging ADP-ANN for optimal performance. The paper concludes by outlining potential applications, including microgrids, electric vehicles, and renewable energy systems, highlighting the converter's key advantages such as reduced complexity, increased efficiency, and broad applicability.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido