电压
反褶积
可再生能源
计算机科学
采样(信号处理)
能量(信号处理)
功率(物理)
实时计算
电子工程
工程类
算法
数学
统计
电气工程
电信
物理
探测器
量子力学
作者
Shirantha Welikala,Neelanga Thelasingha,Muhammed Akram,Parakrama Ekanayake,G. M. R. I. Godaliyadda,Janaka Ekanayake
出处
期刊:Applied Energy
[Elsevier]
日期:2019-03-01
卷期号:238: 1519-1529
被引量:38
标识
DOI:10.1016/j.apenergy.2019.01.167
摘要
This paper presents the formulation and practical implementation of a spectral decomposition based, Real-Time Non-Intrusive Load Monitoring (RT-NILM) solution. Many of the NILM techniques reported in the literature have been validated on environments with non-varying supply voltages, while relying on multiple measurements taken at high sampling rates. In contrast, the RT-NILM solution proposed in this paper has addressed the issue of supply voltage variability, which is a common practical problem prevalent in many developing countries and is anticipated to emerge globally with the increased penetration of renewable energy sources. Therefore, the proposed RT-NILM algorithm was implemented to maintain high accuracy levels even under severe supply voltage fluctuations. An iterative implementation of the Karhunen-Loève expansion was introduced to improve the spectrum decomposition resolution. Further, a fast deconvolution based technique was introduced for the disaggregation of individual power levels of active appliances in an computationally efficient manner. The proposed solution has been validated on a real voltage varying environment, at a real house, in real-time, using active power and voltage measurements taken at a low sampling rate of 1 Hz.
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