STACKELBERG GAME-ROBUST OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEM IN PARKS ACCOUNTING FOR MULTI-SCENARIO COLLABORATIVE CARBON REDUCTION

Han Xiaojuan; Wang Zuran; Li Haoyuan; Sun Shijie

doi:10.19912/j.0254-0096.tynxb.2025-0295

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (5) : 175-189. DOI: 10.19912/j.0254-0096.tynxb.2025-0295

STACKELBERG GAME-ROBUST OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEM IN PARKS ACCOUNTING FOR MULTI-SCENARIO COLLABORATIVE CARBON REDUCTION

Han Xiaojuan¹, Wang Zuran¹, Li Haoyuan², Sun Shijie¹

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Abstract

To ensure the low-carbon economic operation of the integrated energy system for parks and to improve the economic performance of the energy storage system, an optimization scheduling method for integrated energy systems accounting for multi-scenario synergistic carbon reduction is proposed in this paper. Through the analysis of the coupling relationship between multiple stakeholders in the carbon trading and green certificate markets, a scheduling strategy for multi-scenario synergistic carbon reduction is formulated and a market entity model for multiple flexible loads and energy storage under multiple scenarios is established. A robust optimal scheduling model with renewable energy uncertainty is constructed based on the Stackelberg game optimization framework with the integrated energy system operator as the leader and the load aggregator and energy storage operator as the followers. The effectiveness of the proposed method is verified by simulating and analyzing the actual operation data of an integrated energy system in a park and the optimization effects of different scenarios and extreme scenarios of renewable energy are compared and analyzed. The calculation results show that the method proposed in this paper balances the low-carbon and economic aspects of the system, the total cost of the integrated energy system is reduced by 7.89%, carbon emissions are reduced by 4.15 tons, and the revenue of the energy storage system is increased by 53.68%.

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tiered carbon trading / green certificate trading / integrated energy systems / flexible loads / Stackelberg game / robust optimization

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Han Xiaojuan, Wang Zuran, Li Haoyuan, Sun Shijie. STACKELBERG GAME-ROBUST OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEM IN PARKS ACCOUNTING FOR MULTI-SCENARIO COLLABORATIVE CARBON REDUCTION[J]. Acta Energiae Solaris Sinica. 2026, 47(5): 175-189 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0295

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