智能家居用电优化调度建模及蚁群算法求解

Modeling of Household Energy Consumption Scheduling and Its Solving with Ant Colony Algorithm

智能家居用电任务调度是基于智能家居平台,考虑用户习惯、电器属性等多项约束,对多种操作类型的电器设备实施用电安排的一种运行调度。智能家居用电任务调度具有广阔的研究前景,但是缺乏有效的调度算法。文中将家庭用电设备按可中断与不可中断设备分类,针对用电分时段计费条件下的智能家居调度问题,以最小化日用电费用为目标,构建了数学模型;并设计了蚁群算法求解,且进行了MATLAB编程仿真。实验结果表明,该优化算法能很好地优化用电任务调度,达到减少用电费用、激励用户侧合理分配家居用电的目的,进而对电网负荷峰值的缓解有一定的帮助。

Electricity consumption task scheduling for smart household is an operational scheduling which can arrange operational tasks of multiple electrical equipments based on smart household platform,with user habits,electrical properties and other constraints taken into consideration.Electricity consumption task scheduling for smart household has a broad prospect of research,but lacks of effective scheduling algorithm.Therefore,the household tasks are classified into interruptible and no-interruptible devices with relevant attributes.Aiming at a problem of smart household scheduling in the condition of different time periods,the mathematical model is built with the goal of minimizing the cost of electricity for one day. And an ant colony algorithm is designed to solve it and the simulation is carried out by MATLAB.According to experimental results,the improved algorithm can optimize the household consumption scheduling with certain efficiency and reach the purpose of reducing the cost of electricity and motivating the lateral distribution of household electricity for users,which can be helpful for releasing of peak power load to some extent.