Optimizing Energy Storage: A Novel Hybrid Power System Combining Supercapacitors and Lithium‐Ion Batteries With Advanced Optimization Algorithms

The battery power storage system plays a crucial role in converting electric energy into chemical energy and storing it for future use. It finds wide applications in electronic devices, electric vehicles, power storage stations, aerospace, and other industries. Consequently, it has become a significant research area in clean energy transformation and energy management. To achieve fast charging and discharging, improve energy utilization efficiency, and promote environmental friendliness, this paper proposes a novel battery hybrid power storage system that combines supercapacitor technology with lithium‐ion technology. The objective of this system is to address the issue of high investment costs by introducing a simplified power storage configuration that enhances grid stability. This paper considers the characteristics of batteries to develop a power storage configuration plan that is both reliable and cost‐effective. By leveraging the dynamic adjustability of lithium batteries and the high storage capacity of supercapacitors, and employing the whale optimization algorithm (WOA) and a simulated annealing strategy with adaptive weight, an integrated power storage and capacity configuration scheme is derived. The scheme is constructed based on actual demand and an objective function that minimizes the average usage cost of power storage. Furthermore, the proposed scheme is evaluated using real‐world data from a renewable energy field to assess its effectiveness in improving power storage configuration and verifying the economy and reliability of this new hybrid power storage system. The experimental data analysis confirms the practical significance and economic benefits of the proposed scheme in optimizing electric field output. By capitalizing on the strengths of supercapacitors and lithium‐ion batteries, this battery hybrid power storage system provides an efficient and cost‐effective solution for energy storage.

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Publication Details

Journal
Journal of Electrical and Computer Engineering
Published
2025-01-01
DOI
https://doi.org/10.1155/jece/3025404
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

Optimizing Energy Storage: A Novel Hybrid Power System Combining Supercapacitors and Lithium‐Ion Batteries With Advanced Optimization Algorithms

Youwu Liu, Guodong Wu, Chin E. Lin, Yuhao Wu
Journal of Electrical and Computer Engineering
Advanced Battery Technologies Research
article

Optimizing Energy Storage: A Novel Hybrid Power System Combining Supercapacitors and Lithium‐Ion Batteries With Advanced Optimization Algorithms

Youwu Liu, Guodong Wu, Chin E. Lin, Yuhao Wu
article en

Abstract

The battery power storage system plays a crucial role in converting electric energy into chemical energy and storing it for future use. It finds wide applications in electronic devices, electric vehicles, power storage stations, aerospace, and other industries. Consequently, it has become a significant research area in clean energy transformation and energy management. To achieve fast charging and discharging, improve energy utilization efficiency, and promote environmental friendliness, this paper proposes a novel battery hybrid power storage system that combines supercapacitor technology with lithium‐ion technology. The objective of this system is to address the issue of high investment costs by introducing a simplified power storage configuration that enhances grid stability. This paper considers the characteristics of batteries to develop a power storage configuration plan that is both reliable and cost‐effective. By leveraging the dynamic adjustability of lithium batteries and the high storage capacity of supercapacitors, and employing the whale optimization algorithm (WOA) and a simulated annealing strategy with adaptive weight, an integrated power storage and capacity configuration scheme is derived. The scheme is constructed based on actual demand and an objective function that minimizes the average usage cost of power storage. Furthermore, the proposed scheme is evaluated using real‐world data from a renewable energy field to assess its effectiveness in improving power storage configuration and verifying the economy and reliability of this new hybrid power storage system. The experimental data analysis confirms the practical significance and economic benefits of the proposed scheme in optimizing electric field output. By capitalizing on the strengths of supercapacitors and lithium‐ion batteries, this battery hybrid power storage system provides an efficient and cost‐effective solution for energy storage.

Journal of Electrical and Computer EngineeringVol. 2025(1)
Quanzhou Normal University (CN), Fujian Electric Power Survey & Design Institute (CN), Sanming University (CN), Sichuan University of Science and Engineering (CN)
Openalex Percentile: Top 71%
Advanced Battery Technologies Research
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