In this paper,the household tasks are classified into interruptible and no-interruptible devices with relevant at-tributes.A mathematical model aiming to obtain the optimal combination and minimize the total electricity cost is built.A two-layer genetic algorithm combined with binary coding and decimal coding is used to solve the model.%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。将家庭用电设备按可中断与不可中断设备分类,构建了一个以寻求最优组合,最小化用电费用为目标的数学模型,并采用了二进制编码和十进制编码相结合的双层遗传算法求解,应用MATLAB进行仿真。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也有一定的帮助。
展开▼