Optimal Dispatch Model for Hybrid Energy Storage in Low-Carbon Integrated Energy Systems

Zhe Chen, Bingcheng Cen, Jingbo Zhao, Haixin Wu, Hao Wang and Zhixin Fu ()
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Zhe Chen: State Grid Jiangsu Electric Power Co., Ltd., Research Institute, Nanjing 211102, China
Bingcheng Cen: State Grid Jiangsu Electric Power Co., Ltd., Research Institute, Nanjing 211102, China
Jingbo Zhao: State Grid Jiangsu Electric Power Co., Ltd., Research Institute, Nanjing 211102, China
Haixin Wu: School of Electrical and Power Engineering, Hoai University, Nanjing 211100, China
Hao Wang: School of Electrical and Power Engineering, Hoai University, Nanjing 211100, China
Zhixin Fu: School of Electrical and Power Engineering, Hoai University, Nanjing 211100, China

Energies, 2025, vol. 18, issue 21, 1-22

Abstract: Integrated Energy Systems (IESs), which leverage the synergistic coordination of electricity, heat, and gas networks, serve as crucial enablers for a low-carbon transition. Current research predominantly treats energy storage as a subordinate resource in dispatch schemes, failing to simultaneously optimise IES economic efficiency and storage operators’ profit maximisation, thereby overlooking their potential value as independent market entities. To address these limitations, this study establishes an operator-autonomous management framework incorporating electrical, thermal, and hydrogen storage in IESs. We propose a joint optimal dispatch model for hybrid energy storage systems in low-carbon IES operation. The upper-level model minimises total system operation costs for IES operators, while the lower-level model maximises net profits for independent storage operators managing various storage assets. These two levels are interconnected through power, price, and carbon signals. The effectiveness of the proposed model is verified by setting up multiple scenarios, for example analysis.

Keywords: Integrated Energy System (IES); hybrid storage; low-carbon economic dispatch; carbon trading mechanism; independent management of energy storage (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: 2025
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