Academic Journal
Design and implementation of a universal converter for microgrid applications using approximate dynamic programming and artificial neural networks
| العنوان: | Design and implementation of a universal converter for microgrid applications using approximate dynamic programming and artificial neural networks |
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| المؤلفون: | K. Suresh, E. Parimalasundar, B. Hemanth Kumar, Arvind R. Singh, Mohit Bajaj, Milkias Berhanu Tuka |
| المصدر: | Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024) |
| بيانات النشر: | Nature Portfolio, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | DC-DC and DC-AC, DC- approximate dynamic programming, Artificial neural network, Universal operation, Medicine, Science |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-024-71916-z |
| URL الوصول: | https://doaj.org/article/8463bc9749f748f68136f599d388e474 |
| رقم الانضمام: | edsdoj.8463bc9749f748f68136f599d388e474 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20452322 |
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| DOI: | 10.1038/s41598-024-71916-z |