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基于近似动态规划和人工神经网络的微电网通用变换器设计与实现

Design and implementation of a universal converter for microgrid applications using approximate dynamic programming and artificial neural networks.

作者信息

Suresh K, Parimalasundar E, Kumar B Hemanth, Singh Arvind R, Bajaj Mohit, Tuka Milkias Berhanu

机构信息

Department of Electrical and Electronics Engineering, Christ Deemed to Be University, Bangalore, India.

Department of Electrical and Electronics Engineering, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Tirupati, India.

出版信息

Sci Rep. 2024 Sep 8;14(1):20899. doi: 10.1038/s41598-024-71916-z.

DOI:10.1038/s41598-024-71916-z
PMID:39245750
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11381510/
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.

摘要

本文介绍了一种新颖的通用直流 - 直流和直流 - 交流转换器设计，该转换器专为直流/交流微电网应用量身定制，采用了近似动态规划和人工神经网络（ADP - ANN）。所提出的转换器经过精心设计，能够在低功率电池和单相交流电源下高效运行，在斩波器和逆变器配置中使用相同的侧端和开关。这一创新减少了组件冗余并增强了操作通用性。该转换器的设计强调尽量减少开关的使用，同时确保高效转换，以满足来自电池或交流电源的各种负载需求。一个概念示例阐述了该设计的原理，全面的分析比较了转换器在各种运行模式下的性能。一个额定功率为3000W的测试台模型展示了该转换器在所有五种交流/直流输入运行模式下的功效。实验结果证实了该系统的稳健性和适应性，利用ADP - ANN实现了最佳性能。本文最后概述了潜在应用，包括微电网、电动汽车和可再生能源系统，突出了该转换器的关键优势，如降低复杂性、提高效率和广泛适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/791ab5c808c5/41598_2024_71916_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/bc311534f0dc/41598_2024_71916_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/898a3b35321d/41598_2024_71916_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/7259a60bbfe1/41598_2024_71916_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/1b9d36975083/41598_2024_71916_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/a31fcc4bf3a3/41598_2024_71916_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/c97301a7f770/41598_2024_71916_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/7860a5e6555a/41598_2024_71916_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/84c1067929e5/41598_2024_71916_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/d61f51dc2fa7/41598_2024_71916_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/791ab5c808c5/41598_2024_71916_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/bc311534f0dc/41598_2024_71916_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/96a25a713918/41598_2024_71916_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/898a3b35321d/41598_2024_71916_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/7259a60bbfe1/41598_2024_71916_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/1b9d36975083/41598_2024_71916_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/a31fcc4bf3a3/41598_2024_71916_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/c97301a7f770/41598_2024_71916_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/7860a5e6555a/41598_2024_71916_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/84c1067929e5/41598_2024_71916_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/d61f51dc2fa7/41598_2024_71916_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a90/11381510/791ab5c808c5/41598_2024_71916_Fig11_HTML.jpg

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