摘要
针对侵入式负荷监测系统在设备投入、复杂性以及扩展性上的缺陷,在详细分析非侵入式负荷监测系统工作原理的基础上,设计了一种基于模板滤波的非侵入式负荷辨识系统。主要介绍了非侵入式负荷辨识系统的功能模块、设计方法和实现的功能,通过对用电设备运行状态信息的采集和分析,实现了对电力负荷的在线识别,为居民用户能源管理提供支持。在研究基于模板滤波的快速负荷辨识算法的基础上,提出其在TMS320f28335数字信号处理(DSP)芯片中的程序设计封装处理算法,然后利用霍尔电流传感器采集电力入口处的总电流并将其转化为低电压信号,再通过设计运算电路对低电压信号进行调整,最后在DSP芯片内对调整后的信号进行模数转换与负荷辨识。仿真实验结果表明,该系统运行可靠、操作简单、精度较高且应用范围广。
Aiming at the intrusive load monitoring system defects in equipment investment, complexity and scalability, a non-intrusive load identification system based on template filtering was proposed. The function modules, design methods and functions of the non-invtrusive load identification system were mainly introduced. Through the collection and analysis of the running status information of the electrical equipment, the on-line monitoring of the power load was realized and the monitoring results were identified to support resident user energy management. Based on the study of a fast load identification algorithm based on template filtering, the encapsulation processing algorithm in TMS320 f28335 Digtal Signal Processing（ DSP） chip was presented, and then the Hall current sensor was used to collect the total current at the power inlet and transform it into low voltage signal. A circuit was designed to adjust the low voltage signal. Finally, DSP was used to convert the output analog signal to digital signal and identify the load signal by the algorithm. The simulation results show that the system is reliable,simple to operate and can be widely used.
出处
《计算机应用》
CSCD
北大核心
2017年第A02期283-286,317,共5页
journal of Computer Applications
基金
中央高校基本科研业务费专项资金资助项目(2016MS13)
国家重点研发计划项目(2016YFB0901104)
关键词
非侵入负荷监测
数据采集
负荷辨识
模板滤波
数字信号处理(DSP)封装处理
non-intrusive load monitoring
data collection
load identification
template filtering
Digtal Signal Processing （DSP） package processing
