基于分项电器用电数据的用户侧能耗分布与能效分析

Analysis of Energy Consumption Distribution and Energy Efficiency on the User Side Based on the Data of Sub Item Electrical Appliances

针对当前用户侧用电数据单一,无法实现对用电电器能耗情况有效评估的问题,基于一种非侵入负荷辨识获取居民侧分项电器细粒度行为数据,据此进行用户侧能效具象评估。首先构建了海量细粒度监测、诊断分析、用户互动的闭环监测应用架构;进一步地,从电器用电量占比、峰谷用电量占比、阶梯电价负荷占比构建单(区域)用户能耗分布模型;基于待机电器活跃时段统计分时段待机功耗,基于保温事件捕捉、加热时间、加热间隔综合分析保温电器能耗及运行情况。选取一定数量的用电行为数据进行案例分析,结果显示该能耗分布、能效分析方案可向用户提供个性化能效服务。

In view of the single current user-side power consumption data,it is impossible to effectively evaluate the energy consumption of electric appliances.Based on a non-intrusive load identification,the fine-grained behavioral data of household appliances are obtained,and the user-side energy efficiency concrete evaluation is carried out based on this.First,a closed-loop monitoring application architecture with massive fine-grained monitoring,diagnostic analysis,and user interaction is built.Furthermore,the distribution model of single(regional)user energy consumption is constructed from the proportion of electrical power consumption,peak valley power consumption and load proportion of step tariff.Based on the active period of standby electrical appliances,the standby power consumption is counted by time.Based on the capture of thermal insulation events,heating time and heating interval,the energy consumption and operation of thermal insulation appliances are analyzed comprehensively.A certain amount of electricity consumption behavior data is selected for case analysis,and the results show that the energy consumption distribution and energy efficiency analysis program can provide users with personalized energy efficiency services.