居民用户智能用电建模及优化仿真分析

随着居民用户智能家电普及率的不断提高,实现智能用电优化已成为电力需求侧管理的重要研究内容。通过对居民用户智能家电的用电起始时间、用电时长、用电时段数的设计,并结合智能家电的用电特征及电价机制,给出了一种以用电费用最小为目标的智能用电优化方法。该方法同时考虑了用电起始时间、结束时间和允许的最大中断次数等约束条件。通过算例中电价机制及智能家电约束对用电安排影响的仿真分析,验证了该方法可有效减少用电费用及降低居民用户用电负荷峰值;同时探讨了在实时电价机制及更灵活的家电中断约束下,智能用电优化效果更为显著。

Intelligent Electricity Consumption Modeling and Optimal Simulations for Residential Users

With the trend of increasing smart appliances used in homes, their electricity consumption scheduling is becoming an important research area of the demand side management. By dividing a day into slots, representing the starting time, the operation length and electricity consumption with these slots while referring to electricity consumption characteristics and the pricing mechanism, an intelligent electricity consumption optimization approach is proposed to minimize the electricity consumption fee. The approach considers such constraints as the allowed earliest starting instant, the latest ending instant and maximum interruption times at the same time. Simulation results show that the method proposed is effective in reducing the electricity consumption fee and the load peak, especially the more appreciable reduction in the spot price mechanism and with flexible interruption times of smart appliances. This work is supported by State Grid Corporation of China(No. SGTYHT/14-JS-188).