Abstract
Partial discharge (PD) is the main cause of the insulation decay and hence periodical testing of the insulation condition of a distribution transformer is necessary. This paper presents a model of PD acoustic wave propagation, detection, and localization in an oil-filled distribution transformer using finite element method supported by COMSOL Multiphysics software. Using an acoustic module and AC/DC module of COMSOL Multiphysics software, oil filled distribution transformer, and the acoustic piezoelectric sensor are simulated to analyze and detect the PD inside the transformer. PD is numerically simulated in the transformer windings, core, and oil ducts that produce acoustic wave signal. The distribution of the acoustic pressure wave inside the model transformer is analyzed first. Next, the acoustic piezoelectric sensors are modelled at four different locations of the model transformer to detect the pressure acoustic wave signal induced due to PD in the transformer. Finally, using an artificial neural network (ANN), the localization, and identification of PD in various parts of the transformer have been analyzed. The results obtained for location and detection are quite encouraging.
References
[1] B. Sarkar, C. Koley, N. K. Roy, and P. Kumbhakar, “Condition monitoring of high voltage transformers using Fiber Bragg Grating Sensor,” Measurement, vol. 74, pp. 255–267, 2015.10.1016/j.measurement.2015.07.014Search in Google Scholar
[2] S. N. Meitei, A. Saikia, K. Borah, and S. Chatterjee, “Hot spot detection in high voltage transformer by thermal sensor using COMSOL Multiphysics,” in 2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE). IEEE, 2018, pp. 1–4.10.1109/EPETSG.2018.8658935Search in Google Scholar
[3] J. Singh, Y. R. Sood, and R. K. Jarial, “Condition monitoring of power transformers-bibliography survey,” IEEE Electr Insul Mag, vol. 24, no. 3, pp. 11–25, 2008.10.1109/MEI.2008.4591431Search in Google Scholar
[4] Eberhard Lemke (AE), Sonja Berlijn (SE), “IEC-60270.” 2008.Search in Google Scholar
[5] J. Deng, H. Xiao, W. Huo, M. Luo, R. May, A. Wang, and Y. Liu, “Optical fiber sensor-based detection of partial discharges in power transformers,” Opt Laser Technol, vol. 33, no. 5, pp. 305–311, 2001.10.1016/S0030-3992(01)00022-6Search in Google Scholar
[6] D. Wotzka, T. Boczar, and D. Zmarzly, “Analysis of acoustic wave propagation in a power transformer model,” Acta Physica Polonica-Ser. A Gen Phys, vol. 116, no. 3, pp. 428, 2009.10.12693/APhysPolA.116.428Search in Google Scholar
[7] D. Wotzka, A. Cichoń, and T. Boczar, “Modeling and experimental verification of ultrasound transmission in electro insulation oil,” Arch Acoust, vol. 37, no. 1, pp. 19–22, 2012.10.2478/v10168-012-0003-xSearch in Google Scholar
[8] S. M. Markalous, S. Tenbohlen, and K. Feser, “Detection and location of partial discharges in power transformers using acoustic and electromagnetic signals,” IEEE Trans Dielectr Electr Insul, vol. 15, no. 6, pp. 1576–1583, 2008.10.1109/TDEI.2008.4712660Search in Google Scholar
[9] A. Hekmati, “Proposed method of partial discharge allocation with acoustic emission sensors within power transformers,” Appl Acoust, vol. 100, pp. 26–33, 2015.10.1016/j.apacoust.2015.07.011Search in Google Scholar
[10] D. Wotzka, D. Zmarzly, and T. Boczar, “Numerical simulation of acoustic wave propagating in a spherical object filled with insulating oil,” Acta Physica Polonica-Ser. A Gen Phys, vol. 118, no. 6, pp. 1272, 2010.10.12693/APhysPolA.118.1272Search in Google Scholar
[11] R. Ozaki, A. O. Akumu, H. Ihori, M. Fujii, and F. Arii, “Simulation of ultrasonic wave propagation of partial discharge in transformer model,” in Proceedings of 2001 International Symposium on Electrical Insulating Materials (ISEIM 2001). 2001 Asian Conference on Electrical Insulating Diagnosis (ACEID 2001). 33rd Symposium on Electrical and Ele. IEEE, 2001, pp. 880–883.Search in Google Scholar
[12] A. O. Akumu, H. Masai, F. Adachi, R. Ozaki, H. Ihori, M. Fujii, and K. Arii, “Analysis of partial discharge acoustic wave propagation in a model transformer,” Jpn J Appl Phys, vol. 42, no. 6R, pp. 3686, 2003.10.1143/JJAP.42.3686Search in Google Scholar
[13] A. O. Akumu, N. Kawaguchi, H. Ryotaro Ozaki, M. F. Ihori, and K. Arii, “A study of partial discharge acoustic signal propagation in a model transformer,” in Proceedings of 2001 International Symposium on Electrical Insulating Materials (ISEIM 2001). 2001 Asian Conference on Electrical Insulating Diagnosis (ACEID 2001). 33rd Symposium on Electrical and Ele. IEEE, 2001, pp. 583–586.Search in Google Scholar
[14] A. O. Akumu, F. Adachi, N. Kawaguchi, R. Ozaki, H. Ihori, M. Fujii, and K. Arii, “A 3-D numerical simulation of partial discharge acoustic wave propagation in a model transformer,” in Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No. 02CH37316). IEEE, 2002, pp. 183–186.Search in Google Scholar
[15] D. Wotzka, “Partial discharge simulation in an acoustic model of a power transformer,” in 2009 2nd International Students Conference on Electrodynamic and Mechatronics. IEEE, 2009, pp. 39–40.10.1109/ISCON.2009.5156105Search in Google Scholar
[16] D. Wotzka, T. Boczar, and P. Frącz, “Mathematical model and numerical analysis of AE wave generated by partial discharges,” Acta Physica Polonica A, vol. 120, no. 4, pp. 767–771, 2011.10.12693/APhysPolA.120.767Search in Google Scholar
[17] A. Abdallah, Z. Chaozhu, and Z. Zhi, “Investigation on the effect of underwater acoustic pressure on the fundamental mode of hollow-core photonic bandgap fibers,” Int J Opt, vol. 2015, 2015.10.1155/2015/815967Search in Google Scholar
[18] X. Yang, C. Lin, D. Zhou, C. Ke, J. Guan, W. Chen, and Z. Hao, “Dynamic pressure analysis and protection of transformer in internal arcing fault by FEM,” in 2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT). IEEE, 2015, pp. 882–887.10.1109/DRPT.2015.7432425Search in Google Scholar
[19] S. Nagakalyan, B. Raghukumar, and K. Abhilash, “Comparative study of piezoelectric materials for vibration energy Harvesting,” Int J Res Aeronaut Mech Eng, vol. 1, no. 7, pp. 160–166, 2013.Search in Google Scholar
[20] A. Kumar and C. Periasamy, “Simulation study and performance optimization of piezoelectric MEMS device for acoustic sensor applications,” Int J Electr, Electron Data Commun vol. 4, no. 8, pp. 47–50, 2016.Search in Google Scholar
[21] J. Sirohi and I. Chopra, “Fundamental understanding of piezoelectric strain sensors,” J Intell Mater Syst Struct, vol. 11, no. 4, pp. 246–257, 2000.10.1106/8BFB-GC8P-XQ47-YCQ0Search in Google Scholar
[22] N. M. Nasrabadi, “Pattern recognition and machine learning,” J Electron Imag, vol. 16, no. 4, pp. 049901, 2007.10.1117/1.2819119Search in Google Scholar
[23] M. Homaei, S. M. Moosavian, and H. A. Illias, “Partial discharge localization in power transformers using neuro-fuzzy technique,” IEEE Trans Power Delivery, vol. 29, no. 5, pp. 2066–2076, 2014.10.1109/TPWRD.2014.2339274Search in Google Scholar
[24] S. N. Rotby, A. H. El-Hag, M. M. A. Salama, and R. Bartnikas, “Partial discharge detection and localization inside the winding of power transformer,” in 2012 Annual Report Conference on Electrical Insulation and Dielectric Phenomena. IEEE, 2012, pp. 84–87.10.1109/CEIDP.2012.6378728Search in Google Scholar
[25] T. Cheng, P. Wen, and Y. Li, “Research status of artificial neural network and its application assumption in aviation,” in 2016 12th International Conference on Computational Intelligence and Security (CIS). IEEE, 2016, pp. 407–410.10.1109/CIS.2016.0099Search in Google Scholar
[26] S. A.Singh, A.Verma, S.Chhetry, and S.Majumder, “Abnormality analysis of pcg signal using vmd and mlp neural network,” in 2017 7th International Symposium on Embedded Computing and System Design (ISED). IEEE, 2017, pp. 1–5.10.1109/ISED.2017.8303911Search in Google Scholar
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