计及多场景协同降碳的园区综合能源系统主从博弈-鲁棒优化调度

韩晓娟; 王祖冉; 李浩源; 孙世杰

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

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (5) : 175-189. DOI: 10.19912/j.0254-0096.tynxb.2025-0295

计及多场景协同降碳的园区综合能源系统主从博弈-鲁棒优化调度

韩晓娟¹, 王祖冉¹, 李浩源², 孙世杰¹

作者信息 +

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

Author information +

文章历史 +

摘要

为保障园区综合能源系统低碳经济运行并提高储能系统经济性,提出计及多场景协同降碳的综合能源系统主从博弈-鲁棒优化调度方法。通过分析碳交易和绿证市场下源荷储多利益主体之间的耦合关系,制定多场景协同降碳的调度策略,建立多元柔性负荷和储能多场景应用的市场主体模型。以综合能源系统运营商为领导者,以负荷聚合商和储能运营商为跟随者,基于主从博弈优化框架构建计及可再生能源不确定性的鲁棒优化调度模型。通过仿真分析某园区综合能源系统的实际运行数据验证所提方法的有效性,对比分析不同方案和可再生能源极端场景下的优化效果。算例结果表明,该文方法兼顾了系统的低碳性和经济性,使综合能源系统总成本降低7.89%,碳排放量降低4.15 t,储能系统收益增加53.68%。

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%.

导出引用

韩晓娟, 王祖冉, 李浩源, 孙世杰. 计及多场景协同降碳的园区综合能源系统主从博弈-鲁棒优化调度[J]. 太阳能学报. 2026, 47(5): 175-189 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0295

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

中图分类号： TK018 TM73

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