LAPSE:2023.15011
Published Article
LAPSE:2023.15011
An Adaptive Energy Optimization Method of Hybrid Battery-Supercapacitor Storage System for Uncertain Demand
Xiaomin Wu, Shaoyi Li, Shengfeng Gan, Changhui Hou
March 2, 2023
Abstract
To address the problem of DC bus voltage surge caused by load demand fluctuation in an off-grid microgrid, here, an adaptive energy optimization method based on a hybrid energy-storage system to maintain the stability of DC bus voltage is presented. The adaptive energy optimization method consists of three parts: the average filtering algorithm, extracting fluctuating power in demand load; the supercapacitor terminal voltage control, keeping the terminal voltage of the supercapacitor near reference; and the battery pack balance control, adjusting the charge/discharge to balance the state of charge for battery packs. In this proposed method, after extracting the fluctuating power by the low-pass filter when the demand load fluctuates, the battery packs release the power to offset the low-frequency fluctuation load and the supercapacitor to instantaneously compensate the high-frequency fluctuation power, to prolong the service life of batteries and maintain the stability of DC bus voltage. The effectiveness of the proposed adaptive energy optimization method is validated and is confirmed to maintain the stable operation of the off-grid microgrid, extend the cycle life of batteries in off-grid microgrid simulations and experiments.
Keywords
adaptive energy optimization, battery pack, fluctuation load, hybrid energy storage system, supercapacitor
Suggested Citation
Wu X, Li S, Gan S, Hou C. An Adaptive Energy Optimization Method of Hybrid Battery-Supercapacitor Storage System for Uncertain Demand. (2023). LAPSE:2023.15011
Author Affiliations
Wu X: School of Artificial Intelligence, Nanchang Institute of Science & Technology, Nanchang 330108, China; State Grid Hubei Electric Power Research Institute, Wuhan 430077, China [ORCID]
Li S: School of Artificial Intelligence, Nanchang Institute of Science & Technology, Nanchang 330108, China
Gan S: School of Artificial Intelligence, Nanchang Institute of Science & Technology, Nanchang 330108, China
Hou C: School of Artificial Intelligence, Nanchang Institute of Science & Technology, Nanchang 330108, China
Journal Name
Energies
Volume
15
Issue
5
First Page
1765
Year
2022
Publication Date
2022-02-27
ISSN
1996-1073
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Original Submission
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PII: en15051765, Publication Type: Journal Article
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https://doi.org/10.3390/en15051765
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