基于主从博弈的多源调频容量分配策略

随着新能源在电网中所占比例的不断增加，仅依赖火电机组难以满足新型电力系统的高质量调频需求。该文提出一种基于主从博弈理论的风-光-水-火多源调频系统容量分配方法，将火电机组作为上层领导者，风-光-水机组作为下层跟随者，求解参与调频各机组在完成调频任务时的最优交互策略。首先，将参与调频各机组的调频特性嵌入到主从博弈框架下，建立风-光-水-火多源调频系统的主从博弈模型。其次，通过求解主从博弈模型得到参与调频各机组的最优调频容量。然后，采用改进的Shapley值法对风-光-水机组的调频收益进行优化。最后，通过算例验证所提方法的有效性，主从博弈多源调频模型能够使调频容量分配更加合理且兼顾参与调频各机组的调频收益。

Capacity Allocation Strategy of Multi-source Frequency Modulation via Stackelberg Game

With the increasing proportion of new energy in the power grid, it is difficult to meet the high-quality frequency modulation requirements of the power system only relying on traditional thermal power units. This paper proposes a capacity allocation method of the wind-photovoltaic-hydropower-thermal multi-source frequency modulation system based on the stackelberg game theory. Firstly, the thermal power unit is taken as the leader and the wind-photovoltaic-hydropower units are the followers. Secondly, by solving the stackelberg game model, the optimal frequency regulation capacity of each unit participating in frequency regulation is obtained. Then, the improved shapley value method is used to optimize the revenue of the wind-photovoltaic-hydropower units. Finally, the effectiveness of the proposed method is verified. The stackelberg game multi-source frequency modulation model can make the frequency modulation allocation more reasonable and give consideration to the revenue.