Experimental Investigation on the Load Signature Parameters for Non-Intrusive Load Monitoring

• Autorzy: Bacurau R. , Dante A. , Duarte L. , Ferreira E.

Identyfikatory

DOI

10.15199/48.2015.08.22

Warianty tytułu

PL

Badania parametrów urządzeń dla nieinwazyjnego monitorowania obciążeń

• Języki publikacji: EN

Abstrakty

EN

One of the most important design decisions in Non-Intrusive Load Monitoring (NILM) systems is choosing which electrical parameters will be used to define load signatures. In this paper, we present an experimental study where several electrical quantities of common home appliances were measured, in order to identify the most adequate to perform load disaggregation. It was found that active power, reactive power, rms voltage, and the first five odd harmonics of the current and voltage signals comprises the best set of parameters to define the signatures of residential loads.

PL

W artykule zaprezentowano eksperymentalne studium w którym zmierzono parametry typowych urządzeń elektrycznych w celu określenia i zestawienia obciążeń. Stwierdzono że moc czynna, moc bierna, napięcie skuteczne i pierwsze pięć nieparzystych harmonicznych prądu mogą stanowić podstawę do prognozowania obciążeń.

Słowa kluczowe

EN

load signature; power signature; non-intrusive load monitoring; harmonics

PL

monitorowanie obciążeń; znaczniki obciążeń

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2015
• Tom: R. 91, nr 8
• Strony: 86--90
• Opis fizyczny: Bibliogr. 25 poz., rys., wykr.

Twórcy

autor

Bacurau R.

• Department of Semiconductors, Instruments and Photonics, School of Electrical and Computer Engineering, University of Campinas, Campinas, SP, Brazil

autor

Dante A.

• Department of Semiconductors, Instruments and Photonics, School of Electrical and Computer Engineering, University of Campinas, Campinas, SP, Brazil

autor

Duarte L.

• Department of Semiconductors, Instruments and Photonics, School of Electrical and Computer Engineering, University of Campinas, Campinas, SP, Brazil

autor

Ferreira E.

• Department of Semiconductors, Instruments and Photonics, School of Electrical and Computer Engineering, University of Campinas, Campinas, SP, Brazil

Bibliografia

• [1] Meehan, P., McArdle, C., Daniels, S. An Efficient, Scalable Time- Frequency Method for Tracking Energy Usage of Domestic Appliances Using a Two-Step Classification Algorithm. Energies ,7 (2014), 7041-7066.
• [2] Zoha, A., Gluhak, A., Imran, M.A., Rajasegarar, S. Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey. Sensors, 12 (2012), 16838-16866.
• [3] Leeb, S.B. A conjoint pattern recognition approach to non-intrusive load monitoring, Ph.D. Thesis, Dept. Elec. Eng. & Comp. Sci., Massachusetts Inst. Technol., (1993).
• [4] Chang, H.H., Chen, K.L., Tsai, Y.P., Lee, W.J. A New Measurement Method for Power Signatures of Nonintrusive Demand Monitoring and Load Identification. IEEE Trans. on Industry Applications, 48 (2012), 764-771.
• [5] Huang, S.J., Hsieh, C.T., Kuo, L.C., Lin, C.W., Chang, C.W., Fang, S.A. Classification of Home Appliance Electricity Consumption Using Power Signature and Harmonic Features. In IEEE Ninth International Conference on Power Electronics and Drive Systems- PEDS, pp. 596-599, (2011).
• [6] Cole, A., Albicki, A. Nonintrusive Identification of Electrical Loads in a Three-Phase Environment Based on Harmonic Content. In Proceedings of Instrumentation and Measurement Technology Conference, Baltimore, MD, USA, 1–4 May (2000), Volume 716, pp. 24–29.
• [7] Farinaccio, L., Zmeureanu, R. Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses. Energ. Build., 30 (1999), 245–259.
• [8] Hart, G.W. Nonintrusive appliance load monitoring. IEEE Proc., 80 (1992), 1870–1891.
• [9] Duarte, L.F.C., Ferreira, E.C., Siqueira Dias J.A. Measurement Techniques for Energy Efficiency Programs. In Energy Efficiency - The Innovative Ways for Smart Energy, the Future Towards Modern Utilities, 1st ed., Eissa, M., Publisher: InTech, Volume 1 (2012), pp. 193-208.
• [10] Najmeddine, H., El Khamlichi Drissi, K., Pasquier, C., Faure, C., Kerroum, K., Diop, A., Jouannet, T., Michou, M. State of Art on Load Monitoring Methods. In Proceedings of the 2nd IEEE International Conference on Power and Energy Conference, Johor Bahru, Malaysia, 1–3 December (2008), pp. 1256–1258.
• [11] Norford, L.K., Leeb, S.B. Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient loaddetection algorithms. Energ. Build., 24 (1996), 51–64.
• [12] Patel, S.N., Robertson, T., Kientz, J.A., Reynolds, M.S., Abowd, G.D. At the Flick of a Switch: Detecting and Classifying Unique Electrical Events on the Residential Power Line In Proceedings of the 9th International Conference on Ubiquitous Computing, Innsbruck, Austria, (2007), pp. 271–288.
• [13] Robertson, D.C., Camps, O.I., Mayer, J.S., Gish, W.B. Wavelets and electromagnetic power system transients. IEEE Trans. Power Del., 11 (1996), 1050-1058.
• [14] Chang H.H. Non-Intrusive Demand Monitoring and Load Identification for Energy Management Systems Based on Transient Feature Analyses. Energies, 5 (2012), 4569-4589.
• [15] Liang, J., Ng, S.K.K., Kendall, G., Cheng, J.W.M. Load signature study Part I: Basic concept, structure, and methodology. IEEE Trans. Power Del., 25 (2010), 551–560.
• [16] Srinivasan, D., Ng, W., Liew, A. Neural-network-based signature recognition for harmonic source identification. IEEE Trans. Power Del., 21 (2006), 398–405.
• [17] Lee, K.D., Leeb, S.B., Norford, L.K., Armstrong, P.R., Holloway, J., Shaw, S.R. Estimation of variable-speed-drive power consumption from harmonic content. IEEE Trans. Energy Convers., 20 (2005), 566–574.
• [18] Shaw, S.R., Laughman, C.R. A Kalman-Filter Spectral Envelope Preprocessor. IEEE Trans. Instr. and Meas., 56 (2007), 2010-2017.
• [19] Du L., Restrepo, J.A., Yang, Y., Harley, R.G., Habetler, T.G. Nonintrusive, Self-Organizing, and Probabilistic Classification and Identification of Plugged-In Electric Loads. IEEE Trans. On Smart Grids, 4 (2013), 1371-1380.
• [20] Hassam, T., Javed, F., Arshad, N. An Empirical Investigation of V-I Trajectory Based Load Signatures for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grids, 5 (2014), 870-878.
• [21] Moro, J.Z., Duarte, L.F.C., Ferreira, E.C., Siqueira Dias, J.A. A Home Appliance Recognition System Using the Approach of Measuring Power Consumption and Power Factor on the Electrical Panel, Based on Energy Meter ICs. Scientific Research Circuit and Systems, 4 (2013), 245-251.
• [22] Cooley, J.W., Tukey, J.W. An algorithm for the machine calculation of complex Fourier series. Math. Comput., 19 (1965), 297–301.
• [23] Goertzel, G. An Algorithm for the Evaluation of Finite Trigonometric Series. American Mathematical Monthly, 65 (1958), 34–35.
• [24] Sultanem, F. Using Appliances Signatures for Monitoring Residential Loads at Meter Panel Level. IEEE Tran. on Power Delivery, 6 (1991), 1380-1385.
• [25] Markiewicz, H., Klajn A. Voltage Disturbances Standard EN 50160: Voltage Characteristics in Public Distribution Systems, 1st ed, Wroclaw University of Technology, Wroclaw, Poland, (2004), pp. 3- 4.