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

Author

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

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.

Suggested Citation

  • Guo, Jiacheng & Chen, Jun & Wu, Hao & Zeng, Jimin & Peng, Jinqing, 2025. "Optimized scheduling and performance evaluation of hybrid energy storage systems with power-based and energy-based storage," Applied Energy, Elsevier, vol. 395(C).
    • Handle: RePEc:eee:appene:v:395:y:2025:i:c:s0306261925009304
    DOI: 10.1016/j.apenergy.2025.126200
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