Optimized scheduling and performance evaluation of hybrid energy storage systems with power-based and energy-based storage

Jiacheng Guo, Jun Chen, Hao Wu, Jimin Zeng and Jinqing Peng

Applied Energy, 2025, vol. 395, issue C, No S0306261925009304

Abstract: Energy transitions have made hybrid energy storage systems (HESS) increasingly important in industrial parks. However, there is still a lack of systematic research and answers to the question of why HESSs should be implemented in industrial parks. This study developed a HESS integrating supercapacitors, lithium-ion batteries, thermal storage tanks, and chilled water storage. An optimized scheduling method combining variational mode decomposition and mixed-integer linear programming was proposed, considering the complementary characteristics of power-based and energy-based storage methods. The performance of the HESS was systematically analyzed from the perspectives of long-term benefits and short-term scheduling across different scenarios. The results showed that, the HESS significantly reduced carbon emissions (7.65 kg/m2, 15.5 %) and energy costs (1.11 USD/m2, 5.5 %), compared to that of lithium-ion battery storage systems. The optimization-based operational strategy demonstrated the ability to respond flexibly to real-time electricity prices and carbon emission signals, achieving significant economic and carbon reduction benefits across various scenarios.

Keywords: Hybrid energy storage system; Industrial parks; Optimized scheduling; Operational strategy; Performance evaluation (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.apenergy.2025.126200

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