A novel dynamic load-priority-based scheduling strategy for home energy management system

In order to increase renewable energy consumption and enhance energy efficiency, residents participate in the utility in the form of demand response. To address the challenges of imprecise energy efficiency services and inadequate response of household energy use, a novel dynamic-load-priority-based scheduling strategy is proposed. Firstly, according to the operation law of household appliances, the control models of three kinds of flexible loads are established respectively. Secondly, according to the characteristics of household appliances, the priority evaluation index of household appliances including user comfort, electricity cost and task urgency index is proposed. The Technique for Order Preference by Similarity to Ideal Solution based on entropy weight is used to prioritize the household appliances that control the scheduling queue. Finally, according to the sorting results, the load control strategy is implemented to reasonably arrange the orderly work of household electrical equipment. Compared with the uncontrolled state, the proposed strategy can limit the total power of appliance load operation to the demand range in the peak load condition, and save 3% of electricity cost and reduce 5.4 kW of peak load under the demand limit of 12 kW, and 32% of electricity cost and 10.6 kW of peak load under the demand limit of 7 kW, without affecting the basic life of customers. In the period of new energy saturation, the load can also be dispatched to participate in the new energy consumption, thus realizing the coordinated interaction between residential energy consumption and the utility. [Display omitted] •An improved TOPSIS based on entropy weight is proposed for load priority ranking.•A novel dynamic-load-priority-based scheduling strategy considering ToU is studied.•The strategy can make full use of the shiftable loads and lower the cost.•The proposed strategy can promote the consumption of renewable energy.