计及自适应阶梯碳势-碳价与供需双响应基于主从博弈的综合能源系统低碳经济调度  

Low-carbon Economic Dispatch for Integrated Energy System Based on Stackelberg Game Considering Adaptive Stepped Carbon Potential-carbon Price and Dual Response of Supply and Demand

作　　者：余洋 吴千 霍宇航 高世轩 夏雨星 蔡新雷 YU Yang;WU Qian;HUO Yuhang;GAO Shixuan;XIA Yuxing;CAI Xinlei(State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University),Baoding 071003,Hebei Province,China;Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province(North China Electric Power University),Baoding 071003,Hebei Province,China;Electric Power Dispatching Control Center of Guangdong Grid Co.,Ltd.,Guangzhou 510600,Guangdong Province,China)

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学(保定)),河北省保定市071003 [2]河北省分布式储能与微网重点实验室(华北电力大学(保定)),河北省保定市071003 [3]广东电网有限责任公司电力调度控制中心,广东省广州市510600

出　　处：《电网技术》2024年第7期2702-2714,I0004,I0005,I0006,I0007,I0008,I0009,共19页Power System Technology

基　　金：国家自然科学基金项目(52077078)。

摘　　要：针对碳流视角下综合能源系统(integrated energy system,IES)低碳化调度潜能挖掘不充分和用能侧碳排放责任承担不足的问题,提出了计及自适应阶梯碳势-碳价与供需双响应基于主从博弈的IES低碳经济调度策略。首先,设计自适应阶梯碳势-碳价模型,并构建基于能量枢纽矩阵标准化模型的IES碳流模型,获取用户侧各能源负荷节点碳势,进而完成碳势分级下碳价区间的划分;其次,兼顾源荷两侧的灵活调整及响应机制,建立用户侧参与的IES主从博弈低碳经济调度模型,上层IES运营商通过制定动态变化的负荷节点碳势-碳价,引导下层用户聚合商低碳化用能;最后,提出改进霜冰优化算法(improved rime optimization algorithm,IRIME),利用其独特阶梯式逐步搜索策略与主从博弈迭代过程相贴合的特性,并改进权重系数设计与选择策略,实现主从博弈模型的高精度、快速求解。仿真结果表明:所提自适应阶梯碳势-碳价模型提升了用户侧的碳势感知能力,与阶梯型碳排放固定碳价模型相比可进一步降低4.76%的碳排放量,结合供需双响应机制可提高1.13%的IES运营商收益和降低0.81%的用户聚合商成本;IRIME提升了模型求解的快速性,同时改善了主体间博弈结果的均衡性;所提调度策略实现了碳排放责任的流动转移与两主体间的协同低碳经济运行。Aiming at the problems of insufficient exploitation of the low-carbon dispatch potential for integrated energy systems(IES)and under-responsibility of carbon emission on the user side from the perspective of carbon flow,a low-carbon economic dispatch strategy for IES based on Stackelberg game considering adaptive stepped carbon potential-carbon price and dual response of supply and demand is proposed.First,an adaptive stepped carbon potential-carbon price model is designed.The IES carbon emission flow model based on the standardized matrix model of the energy hub is constructed to obtain the carbon potential of each energy load node on the user side and then complete the division of the carbon price interval under the carbon potential grading.Secondly,taking into account the flexible adjustment and response mechanism of the source and load sides,establish a low-carbon economic dispatch model of IES with user-side participation based on the Stackelberg game,the upper-level IES operator guides the lower-level user aggregator's decarbonized energy use through developing dynamically changing load nodes carbon potential-carbon price.Finally,the improved rime optimization algorithm(IRIME)is proposed to take advantage of its unique step-by-step search strategy that fits with the iterative process of the Stackelberg game and improve the design of weight coefficients and selection strategy to achieve high-precision and fast solution of the Stackelberg game model.The simulation results show that the proposed adaptive stepped carbon potential-carbon price model improves the carbon potential sensing ability of the user side,which can further reduce carbon emission by 4.76% compared with the stepped carbon emission fixed carbon price model,combined with the dual-response mechanism of supply and demand,it can improve IES operator revenue by 1.13% and reduce the user aggregator cost by 0.81%;IRIME enhanced the fastness of model solving while improving the equilibrium of inter-subjective game outcomes;and the proposed dispatch s

关 键 词：综合能源系统 碳排放流 自适应阶梯碳势-碳价 供需双响应 主从博弈 

分 类 号：TM721[电气工程—电力系统及自动化]