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基于数据的太阳能直流微电网中电池-超级电容器混合储能系统的功率管理控制

Data-based power management control for battery supercapacitor hybrid energy storage system in solar DC-microgrid.

作者信息

Hu Qin, Xie Shilong, Zhang Ji

机构信息

School of Vehicle Engineering, Sichuan Automotive Vocational and Technical College, Mianyang, 621017, China.

School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266525, China.

出版信息

Sci Rep. 2024 Oct 30;14(1):26164. doi: 10.1038/s41598-024-76830-y.

DOI:10.1038/s41598-024-76830-y
PMID:39477978
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11525664/
Abstract

This paper addresses the energy management control problem of solar power generation system by using the data-driven method. The battery-supercapacitor hybrid energy storage system is considered to smooth the power fluctuation. A new model-free control method is utilized in the stand-alone photovoltaic DC-microgrid to provide the power to meet the demand load, while guaranteeing the DC bus voltage is stable. Furthermore, the proposed data-based power management control strategy only needs I/O data. Numerical simulations with real data verify the effectiveness of the proposed method.

摘要

本文采用数据驱动方法解决太阳能发电系统的能量管理控制问题。考虑使用电池-超级电容器混合储能系统来平滑功率波动。在独立光伏直流微电网中采用一种新的无模型控制方法，以提供电力来满足需求负载，同时保证直流母线电压稳定。此外，所提出的基于数据的功率管理控制策略仅需要输入/输出数据。利用实际数据进行的数值模拟验证了所提方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/ba8b153e433f/41598_2024_76830_Fig16_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/ba8b153e433f/41598_2024_76830_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/c61b8b090f73/41598_2024_76830_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/2b56e1382917/41598_2024_76830_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/514e511e359c/41598_2024_76830_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/b4380f87f67a/41598_2024_76830_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/39095169153b/41598_2024_76830_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/827934b2bcc1/41598_2024_76830_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/c02ae0cdcc22/41598_2024_76830_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/92c830697d39/41598_2024_76830_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/88d2cc9b1b2c/41598_2024_76830_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/1796a9043a84/41598_2024_76830_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/07a435a994ee/41598_2024_76830_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/208d8176e508/41598_2024_76830_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/62a0f9cda035/41598_2024_76830_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/a82515b5e718/41598_2024_76830_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/84123728415f/41598_2024_76830_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc3/11525664/ba8b153e433f/41598_2024_76830_Fig16_HTML.jpg

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