基于供用能双侧多主体博弈互动的综合能源系统优化调度策略
Optimization and Scheduling Strategy for Comprehensive Energy Systems Based on Bilateral Multi-agent Game Interaction Between Energy Supply and Demand
王鹤霏 1蔡国伟 1吴同 2黄南天 1胡晨晗 1王歆然1
作者信息
- 1. 现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林 吉林 132012
- 2. 国网辽宁省电力有限公司沈阳供电公司,辽宁 沈阳 110000
- 折叠
摘要
风电等可再生能源高比例并网,是"双碳"目标下电力系统绿色低碳化转型的必经之路,但这也对电网安全运行带来了巨大的压力.因此,文中提出了一种基于博弈论的含碳捕集综合能源系统(Integrated Energy System,IES)优化调度策略.首先,构建了促进风电消纳的综合能源系统内碳循环优化模型;然后,构建了含Stackelberg博弈的双层博弈调度模型,并证明该模型纳什均衡;最后,利用改进的差分进化算法求解双层博弈模型,以满足调度模型收敛速度需求.
Abstract
The high proportion of renewable energy such as wind power connected to the grid is a necessary path for the green and low-carbon transformation of the power system under the"dual carbon"goal,but it also brings enormous pressure to the safe operation of the power grid.Therefore,a game theory based integrated energy system(IES)optimization scheduling strategy for carbon capture is proposed in the article.Firstly,a comprehensive energy system carbon cycle optimization model was constructed to promote wind power consumption.Then,a two-layer game scheduling strategy with Stackelberg game was constructed and proved to be balanced.Finally,the improved differential evolution algorithm is used to solve the two-layer game model to meet the convergence speed requirements of the scheduling model.
关键词
综合能源系统/碳捕集/风电消纳/需求响应/Stackelberg博弈Key words
integrated energy system/carbon capture/wind power consumption/demand response/stackelberg game引用本文复制引用
基金项目
国家重点基础研究发展计划(973计划)(2022YFB2404002)
出版年
2024
NETL
NSTL
万方数据