计及光伏储能的家庭智能用电系统调度模型

Scheduling Model of Smart Home Electricity Consumption System Considering Photovoltaic Energy Storage

随着分布式能源和储能装置大量接入用户侧,如何协调家用电器参与用电优化是电力需求侧管理的重要研究内容之一。首先,根据现代家庭生活习惯和用电必要性,将家用电器进行用电任务分类,并建立负荷峰值、用电费用最小的目标函数。其次,基于上海市夏季某天实际光伏出力数据,提出了含不同光伏储能方案的家庭用电任务调度模型。最后,在MATLAB平台上通过YALMIP工具箱调用CPLEX求解器对智能用电系统调度模型进行仿真计算,结果验证了该模型的合理性。

With the large number of distributed energies and energy storage devices connected to the household,how to coordinate the participation of household appliances in power utilization optimization is one of the important research contents of demand side management(DSM).Firstly,according to the living habits of modern families and the necessity of using electricity,the household appliances are classified,and the objective function of peak load and the minimum cost of using electricity is established.Secondly,based on the actual photovoltaic output data of one day in summer in Shanghai,a household appliances scheduling model with different photovoltaic energy storage schemes is proposed.Finally,on the basis of MATLAB platform,the scheduling model is simulated by calling CPLEX solver with YALMIP toolbox,verifying the rationality of the model.