基于改进天牛须算法的家庭能量管理系统多目标优化调度

Multi-objective Optimal Scheduling of Household Energy Management System Based on Improved Beetle Antennae Search Algorithm

为平抑家庭用户的日负荷波动及降低用电成本,提出一种基于改进天牛须搜索算法的家庭能量管理系统多目标优化调度策略。首先,基于可控型家居负载的分类方法对典型家用设备进行分类,建立用户需求侧负载调度模型。然后,以负载工作特性和用户用电需求为约束条件,以家庭用户用电成本最低、负荷峰均比最小和用户舒适度最大为目标建立家庭能量管理系统多目标优化调度模型。最后,采用改进的天牛须搜索算法对模型进行求解。仿真实验结果表明,该方法能够有效地提高用电经济性和用户舒适度,减小家庭日用电负荷波动。

To smooth out the daily load fluctuations of household users and reduce the cost of electricity consumption,a multi-objective optimal scheduling strategy for home energy management system(HEMS)based on an improved Beetle Antennae Search(IBAS)algorithm was proposed.First,the typical household devices were classified based on the clas⁃sification method for controllable household loads,and a user demand-side load scheduling model was established.Then,a multi-objective optimal scheduling model of HEMS was established with the constraints of working characteris⁃tics of load and electricity demand of users and the objectives of minimum electricity cost of household users,minimum peak-to-average ratio and maximum user comfort.Finally,this model was solved using the IBAS algorithm.Simulation results show that the proposed method can effectively improve the economy of electricity consumption and user comfort,and reduce the fluctuation of daily household electricity consumption.