基于需求侧响应的家庭电热水器优化调度

电热水器是家庭中极为重要的负荷,对实时电价机制下家庭电热水器的优化调度问题进行分析是非常有意义的。首先,将电热水器热力学模型归纳为一阶显式方程,并以此为基础,利用线性整数规划对电热水器的优化调度问题进行求解。然后,对不同程度的舒适区间无选择性调整方案的经济性进行了讨论。最后,探讨了基于多维度信息的综合权重排序法在有选择性舒适区间调整方案中的应用,并对两者进行了比较。仿真结果表明,调整舒适区间上下限能够明显降低调度计划的用电费用。而且,基于多维度信息的综合权重排序法能够有效选择舒适区间调整节点,在很短的调整时长内获得较好的经济效益。

Household electric water heater load scheduling based on demand response

Household Electric Water Heater (HEWH) is one of the most important services in a home. It is significant to study the household electric water heater load scheduling based on demand response in real time pricing tariffs. At first, a type of first-order explicit equation is utilized to describe the thermal dynamic modes of the HEWH. Under such a background, the HEWH load scheduling is addressed using linear integer programming. Then, the energy costs of different indistinctive adjusting schemes of comfort zone are discussed. For comparison''s sake, the selective adjusting schemes with synthetic weight ranking method based on multi-dimensional information are also analyzed. Simulation results indicate that adjusting the upper and lower bounds of comfort zone is useful to reduce the energy cost. Moreover, the proposed synthetic weight ranking method based on multi-dimensional information is able to obtain well economic benefit through adjusting just a small part of comfort zone. This work is supported by National Key Research and Development Program of China (No. 2017YFB0902902).