基于功率型与能量型储能的混合储能系统优化调度与性能评估

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/m 2 , 15.5 %) and energy costs (1.11 USD/m 2 , 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.