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
余洋 1吴千 1霍宇航 1高世轩 1夏雨星 1蔡新雷2
作者信息
- 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;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
- 2. 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
- 折叠
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.
Abstract
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 strategy realizes the flow transfer of the responsibility of carbon emission and the synergistic low-carbon economic operations between the two subjects.
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Key words
integrated energy system/carbon emission flow/adaptive stepped carbon potential-carbon price/dual response of supply and demand/Stackelberg game引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据