摘要
为获取并评估用户内部各用电器能效情况,提出基于非侵入式负荷监测NILM(non-intrusive load monitoring)的家庭电器能效评估方法。首先采用基于负荷事件的NILM,获取个性化能效评估所需的精细化用电数据。进而通过积累电器级用能数据,分析用户的用电特性,得到多类型用户的典型用能规律,并结合地理信息和天气数据总结分析用户用电需求。同时,根据使用目的和工作机理将家庭用电器进行分类,并分别构建了相应的家庭用电器能效评估模型。算例结果表明,所提方法可向用户提出具有针对性的用电建议,优化用户用电行为。
To obtain and evaluate the energy efficiency of home appliances in families,an energy efficiency evaluation method for home appliances based on non-invasive load monitoring(NILM)is proposed in this paper. First,the NILM based on load events is used to obtain the refined power consumption data required for personalized energy efficiency evaluation. Then,by accumulating the energy consumption data for electrical appliances,the power consumption characteristics of users are analyzed,the typical energy consumption law for multiple types of users is obtained,and the power consumption demand from users are summarized and analyzed in combination with the geographic information and weather data. At the same time,the home appliances are classified according to the purpose of use as well as the working mechanism,and the corresponding energy efficiency evaluation models are constructed,respectively. The results of an example show that the proposed method can give targeted power consumption suggestions to users and optimize their power consumption behaviors.
作者
翟术然
孙虹
吕伟嘉
马骁
乔亚男
卢静雅
ZHAI Shuran;SUN Hong;LÜWeijia;MA Xiao;QIAO Yanan;LU Jingya(Electric Power Research Institute,State Grid Tianjin Electric Power Company,Tianjin 300221,China;Tianjin Qiushi Zhiyuan Technology Co.,Ltd,Tianjin 300392,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2022年第8期102-109,共8页
Proceedings of the CSU-EPSA
基金
国家电网天津市电力公司电力科学研究院科技项目(KJ19-1-28)。
关键词
能效评估
负荷识别
用电行为分析
需求侧管理
energy efficiency evaluation
load identification
power consumption behavior analysis
demand-side management
