摘要
“双碳”背景下,为促进能源绿色低碳转型,提出一种考虑绿证-碳交易联合机制与混合博弈的综合能源系统(integrated energy system, IES)低碳经济调度模型。首先,构建混合博弈双层模型,上层模型将系统运营商作为领导者,以最大化自身收益为目标制定购售能价格策略,下层模型将氢能多元利用的综合能源系统(hydrogen multienergy integrated energy system, HMIES)联盟作为跟随者,以联盟整体经济性最优为目标优化自身出力;然后,在HMIES联盟的合作博弈模型中引入绿证-碳联合交易机制,提高整体低碳经济性,同时结合合作博弈理论分析合作成立条件,并基于Shapley值法对合作剩余进行合理分配,实现联盟内部碳捕集电厂主体与新能源发电主体的协同互动;最后,采用遗传算法联合混合整数线性规划(genetic algorithm and the mixed integer linear programming, GAMILP)进行求解。通过算例仿真验证了所提策略的有效性,结果表明所提模型可有效降低碳排放、提升系统经济性。
A low-carbon economic dispatch model for an integrated energy system(IES)is proposed under the"dual-carbon"policy framework to promote green and low-carbon energy transition.This model incorporates a green certificate-carbontrading joint mechanism and hybrid game theory.Firstly,a two-layer hybrid game model is constructed.In the upper-layermodel,the system operator is treated as the leader,and energy purchase and sale pricing strategies are formulated to maximizeits own profit.In the lower-layer model,the hydrogen multi-energy integrated energy system(HMIES)alliance is considered asthe follower,and its output is optimized to achieve the best overall economic performance for the alliance.Secondly,a greencertificate-carbon joint trading mechanism is introduced into the cooperative game model of the HMIES alliance to improve theoverall low-carbon economic performance.Cooperative game theory is applied to analyze the conditions for cooperation,andthe Shapley value method is used to allocate cooperative surplus fairly.This enables collaborative interaction between carboncapture power plants and renewable energy generators within the alliance.Lastly,the model is solved using a genetic algorithmcombined with mixed integer linear programming(GA-MILP).Case simulations are conducted to verify the effectiveness of theproposed strategy.The results demonstrate that carbon emissions are effectively reduced,and system economic performance isimproved.
作者
王玺瑞
闫群民
王磊
宋潇
侯刚
秦玥
WANG Xirui;YAN Qunmin;WANG Lei;SONG Xiao;HOU Gang;QIN Yue(School of Electrical Engineering,Shaanxi University of Technology,Hanzhong 723001,China)
出处
《电力工程技术》
北大核心
2026年第4期12-23,74,共13页
Electric Power Engineering Technology
基金
国家自然科学基金资助项目(62176146)。
