家庭智能用电任务调度优化模型及其算法研究

Research on Model and Algorithm of Smart Electricity Consumption Task Scheduling Optimization in Household

针对家庭负荷的优化调度,提出了一种家庭智能用电任务调度优化模型。根据不同家电设备的用电特点,采用集合论语言对不同用电任务进行描述定义,建立以负荷峰值、用电费用为优化目标,以家庭负荷特性及运行状态为约束的多目标优化问题。提出了基于混合编码遗传算法的求解算法,算法中针对不同用电任务分别设计了不同的算法编码及算法操作策略,实现对家庭智能用电任务调度问题的单目标和多目标优化求解。通过家庭用电任务模拟算例对该算法性能进行了验证,结果表明该算法能够较好地实现家庭用电任务的优化调度。

Aiming at the optimal scheduling of household load, this paper proposed a model of smart electricity consumption task scheduling optimization. According to the electricity characteristics of different household appliances, different electricity consumption tasks were described and defined by the set theory. And then an electricity consumption task scheduling problem was established, with the optimization objectives of load peak and electricity cost, and the constraints of the household load＇s characteristic and running state. A solution algorithm based on hybrid encoding genetic algorithm was proposed, in which different algorithm coding and operation strategies were designed for different electricity consumption tasks respectively, in order to gain the solutions of both single objective and multi-objective problems of smart electricity consumption task scheduling optimization in household. The proposed algorithm was verified by the simulation analysis of some household electricity consumption task examples, and the simulation results show that the proposed algorithm has better performance in the scheduling optimization of these electricity consumption tasks.