EconPapers    
Economics at your fingertips  
 

An Adaptive Energy Optimization Method of Hybrid Battery-Supercapacitor Storage System for Uncertain Demand

Xiaomin Wu, Shaoyi Li, Shengfeng Gan and Changhui Hou
Additional contact information
Xiaomin Wu: School of Artificial Intelligence, Nanchang Institute of Science & Technology, Nanchang 330108, China
Shaoyi Li: School of Artificial Intelligence, Nanchang Institute of Science & Technology, Nanchang 330108, China
Shengfeng Gan: School of Artificial Intelligence, Nanchang Institute of Science & Technology, Nanchang 330108, China
Changhui Hou: School of Artificial Intelligence, Nanchang Institute of Science & Technology, Nanchang 330108, China

Energies, 2022, vol. 15, issue 5, 1-12

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: hybrid energy storage system; adaptive energy optimization; fluctuation load; supercapacitor; battery pack (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/5/1765/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/5/1765/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:5:p:1765-:d:759963

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1765-:d:759963