JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Load Profile Disaggregation Method for Home Appliances Using Active Power Consumption
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Load Profile Disaggregation Method for Home Appliances Using Active Power Consumption
Park, Herie;
  PDF(new window)
 Abstract
Power metering and monitoring system is a basic element of Smart Grid technology. This paper proposes a new Non-Intrusive Load Monitoring (NILM) method for a residential buildings sector using the measured total active power consumption. Home electrical appliances are classified by ON/OFF state models, Multi-state models, and Composite models according to their operational characteristics observed by experiments. In order to disaggregate the operation and the power consumption of each model, an algorithm which includes a switching function, a truth table matrix, and a matching process is presented. Typical profiles of each appliances and disaggregation results are shown and classified. To improve the accuracy, a Time Lagging (TL) algorithm and a Permanent-On model (PO) algorithm are additionally proposed. The method is validated as comparing the simulation results to the experimental ones with high accuracy.
 Keywords
Non-Intrusive Load Monitoring;Home electrical appliance;Signature Identification;
 Language
English
 Cited by
 References
1.
"Smart Grid System Report", U.S. Department of Energy, July 2009.

2.
Hiroshi Murata and Takachi Onoda, "Estimation of power consumption for household electric appliances", 9th International Conference on Neural information processing, vol.5, 2002, pp. 2299-2303.

3.
M. L. Marceau, R. Zmeureanu, "Nonintrusive load disaggregation computer program to estimate the energy consumption of major end uses in residential buildings", Energy Conversion and Management, Vol.41, 09.2000, pp. 1489-1403.

4.
George W.Hart, "Nonintrusive Appliance Load Monitoring", Proceedings of the IEEE, Vol. 80, 1992, pp. 1870-1891. crossref(new window)

5.
Hsueh-Hsien Chang, Hong-Tzer Yang, and Ching- Lung Lin, "Load Identification in Neural Networks for a Non-intrusive Monitoring of Industrial Electrical Loads", CSCWD2007, 2007, pp. 664-674.

6.
Yu Yi-xin, Li Peng, Zhao Chun-liu, "Non-Intrusive Method for On-Line Power Load Decomposition", CICED2008, 2008, p. 1-8.

7.
Hannu Pihala, "Non-intrusive appliance load monitoring system based on a modern kWh-meter", VTT Energy, 1998.

8.
Arend J. Bijker, Xiaohua Xia, Jianfeng Zhang, Active Power Residential Non-intrusive Appliance Load Monitoring System, IEEE AFRICON 2009, 2009, pp. 1-6.

9.
L. K. Norford, Steven B. Leeb, "Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection algorithms", Energy and Buildings, Vol.24, 1996, pp. 51-64. crossref(new window)

10.
Steven R. Shaw, Steven B. Leeb, Leslie K. Norford, Robert W. Cox, "Nonintrusive Load Monitoring and Diagnostics in Power Systems", IEEE Trans. on Instrumentation and Measurement, Vol. 57, No. 7, 07. 2008, pp.1445-1454. crossref(new window)

11.
Hseuh-Hsien Chang, Hong-Tzer Yang, "Applying a non-intrusive energy-management system to economic dispatch for a cogeneration system and power utility", Applied Energy, Vol. 86, 2009, pp. 2335-2343. crossref(new window)

12.
Zhenyu Wang, Guilin Zheng, "Residential Appliances Identification and Monitoring by a Nonintrusive Method", IEEE Trans. on Smart Grid, Vol. 3, 2012, pp. 80-92. crossref(new window)