摘要
非侵入式居民用电负荷监测是一门新兴的智能电网高级量测技术，对居民能耗可视化和节能减排意义重大。首先，对比分析了侵入式和非侵入式两类负荷监测方案的技术优缺点，然后，通过实验提取了电热水器、电热水壶、定频空调的辨识特征量组，提出了一种基于暂稳态混合判据的非侵入负荷辨识算法，研制了一套非侵入负荷辨识装置样机。现场运行结果表明，该装置的电器启停次数辨识率100％，启停时间误差小于1S，电量归集精度大于88％。
The non-intrusive resident load monitoring technology is an emerging advanced measurement technology, and it contributes a lot to the visualization of resident energy consumption and energy saving. Firstly, the advantages and disadvantages of intrusive and non-intrusive load monitoring technology are compared. Secondly, based on transient- steady state hybrid features of water heater, kettle, and air condition, an novel algorithm for load identification has been proposed and a prototype of non-intrusive load monitoring has been made. The running result shows that the accuracy of start-stop-times of the appliances is 100%, the error of start-stop-moment is less than 1 s, and the accuracy of power consumption is above 88%.
作者
徐彤
李永超
杨宇全
谢浩
殷博
周静
宋杰
Xu Tong;Li Yongchao;Yang Yuquan;Xie Hao;Yin Bo;Zhou Jing;Song Jie(Binhai Branch of State Grid Tianjin Electric Power Company, Tianjin 300450, China;State Grid Tianjin Electric Power Company, Tianjin 300010, China;NARI Technology Development Co. , Ltd. , Nanjing 211106, China)
出处
《电子测量技术》
2018年第3期93-97,共5页
Electronic Measurement Technology
基金
国家电网公司总部科技项目“冷热电混合能源联合优化调节关键技术研究及应用”资助
关键词
非侵入
居民负荷
辨识特征量
辨识算法
non-intrusive
resident load
identification feature
load identification algorithm
