张晓英, 陈宝奇, 马志程, 周强. 基于主从博弈理论的热电联供型太阳能热发电站冬季优化运行研究[J]. 太阳能学报, 2023, 44(11): 155-165. DOI: 10.19912/j.0254-0096.tynxb.2022-0936
引用本文: 张晓英, 陈宝奇, 马志程, 周强. 基于主从博弈理论的热电联供型太阳能热发电站冬季优化运行研究[J]. 太阳能学报, 2023, 44(11): 155-165. DOI: 10.19912/j.0254-0096.tynxb.2022-0936
Zhang Xiaoying, Chen Baoqi, Ma Zhicheng, Zhou Qiang. STUDY ON OPTIMAL OPERATION OF SOLAR THERMAL POWER PLANT BASED ON LEADER-FOLLOWER GAME THEORY IN WINTER[J]. Acta Energiae Solaris Sinica, 2023, 44(11): 155-165. DOI: 10.19912/j.0254-0096.tynxb.2022-0936
Citation: Zhang Xiaoying, Chen Baoqi, Ma Zhicheng, Zhou Qiang. STUDY ON OPTIMAL OPERATION OF SOLAR THERMAL POWER PLANT BASED ON LEADER-FOLLOWER GAME THEORY IN WINTER[J]. Acta Energiae Solaris Sinica, 2023, 44(11): 155-165. DOI: 10.19912/j.0254-0096.tynxb.2022-0936

基于主从博弈理论的热电联供型太阳能热发电站冬季优化运行研究

STUDY ON OPTIMAL OPERATION OF SOLAR THERMAL POWER PLANT BASED ON LEADER-FOLLOWER GAME THEORY IN WINTER

  • 摘要: 针对西北地区冬季的风光资源情况以及供热需求,考虑太阳能热发电站的热电联供功能以及共享储能的发展,提出一种基于主从博弈理论的电-热综合能源系统优化运行方法。首先,介绍电-热综合能源系统的构成;其次,建立热电联供型太阳能热发电站、共享储能以及用户的模型;再次,搭建能源运营商和用户聚合商之间的主从博弈模型;最后,根据西北某光热新能源基地冬季实测数据进行算例仿真,通过Gurobi学术版与启发式算法相结合的方法优化系统运行。结果表明:所建模型不仅能实现能源运营商和用户聚合商双方均获得收益,且可为碳中和背景下供热需求的解决提供新的方案。

     

    Abstract: Aiming at the situation of wind and solar resources and heating demand in northwest China in winter,considering the combined heat and power function of photothermal power station and the development of shared energy storage,an optimal operation method of electric-thermal integrated energy system based on leader-follower game theory is proposed. Firstly,the composition of electric-thermal integrated energy system is introduced. Secondly,the models of combined heat and power type photothermal power station,shared energy storage and users are established. Next,build a leader-follower game model between energy operators and user aggregators. finally,according to the winter measured data of a photothermal new energy base in Northwest China,the example simulation is carried out,and the system operation is optimized by the combination of Gurobi academic version and heuristic algorithm.The results show that the model can not only realize the benefits of both energy operators and user aggregators,but also provide a new solution to the heating demand under the background of carbon neutrality.

     

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