Event-based S-transform approach for nonintrusive load monitoring

• Autorzy: Khalid K. , Mohamed A. , Shareef H. , Sabeeh M.

Identyfikatory

DOI

10.15199/48.2016.05.38

Warianty tytułu

PL

Metoda monitorowania obciążenia systemu energetycznego wykorzystująca transformatę S

• Języki publikacji: EN

Abstrakty

EN

In this study, a nonintrusive load monitoring system is developed by analyzing the power signal obtained from a single point of power meter installation to detect ON/OFF load activities. A mathematically designed model with backpropagation neural network is utilized in load pattern recognition to decompose the load operation. Leveraging its unique load signature profile, the S-transform approach is employed to extract the features from the aggregate power signal and analyze the detection of load start-up transient from signal processing. To improve the accuracy of load identification for unknown data, the power factor is used as an additive feature with 99.32% load recognition accuracy.

PL

W artykule analizowany jest system monitorowania obciążenia sieci. Wykorzystano sieć neuronową do rozpoznawania rodzaju Transformata S jest użyta do ekstrakcji danych z sygnału mocy. Dodatkowo do identyfikacji obciążenia użyto współczynnik mocy.

Słowa kluczowe

EN

load recognition; feature extraction; artificial neural network; S-transform

PL

rozpoznawanie obciążenia; sieć neuronowa; transformata S

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2016
• Tom: R. 92, nr 5
• Strony: 194--198
• Opis fizyczny: Bibliogr. 17 poz., rys., wykr.

Twórcy

autor

Khalid K.

• Student, Department of Electrical, Electronic, and Systems Engineering, Universiti Kebangsaan Malaysia

autor

Mohamed A.

• Department of Electrical, Electronic, and Systems Engineering, Universiti Kebangsaan Malaysia

autor

Shareef H.

• Tenaga Nasional Berhad Research

autor

Sabeeh M.

• Student, Department of Electrical, Electronic, and Systems Engineering, Universiti Kebangsaan Malaysia

Bibliografia

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• [9] J. F. Martins, R. Lopes, C. Lima, E. Romero-Cadaval, and D. Vinnikov, “A novel nonintrusive load monitoring system based on the S-Transform,” Proc. Int. Conf. Optim. Electr. Electron. Equipment, OPTIM, pp. 973–978, 2012.
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• [14] R. G. Stockwell, L. Mansinha, and R. P. Lowe, “Localization of the complex spectrum: The S transform,” IEEE Trans. Signal Process., vol. 44, no. 4, pp. 998–1001, 1996.
• [15] C. R. Pinnegar and L. Mansinha, “The S-transform with windows of arbitrary and varying shape,” Geophysics, vol. 68, no. 1, p. 381, 2003.
• [16] P. Pillaya Bhattacharjee, “Application of wavelets to model short-term power system disturbances,” IEEE Trans. Power Syst., vol. 11, no. 4, pp. 2031–2037, 1996.
• [17] J. Sola and J. Sevilla, “Importance of input data normalization for the application of neural networks to complex industrial problems,” IEEE Trans. Nucl. Sci., vol. 44, no. 3 PART 3, pp. 1464–1468, 1997.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.