Pattern Recognition and Algorithm Improvement for Error Analysis in Voltage Transformer Low Voltage Testers

[1] Lee, A. H., Chen, H. H., & Chen, J. (2017). Building smart grid to power the next century in Taiwan. Renewable and Sustainable Energy Reviews, 68, 126-135. Search in Google Scholar

[2] Ugonna, E. E., Ademola, A. K., & Olusegun, A. (2018). Design and construction of a smart electric metering system for smart grid applications: Nigeria as a case study. International Journal of Scientific & Engineering Research, 4(7), 800-804. Search in Google Scholar

[3] Alhamed, K. M., Iwendi, C., Dutta, A. K., Almutairi, B., Alsaghier, H., & Almotairi, S. (2022). Building construction based on video surveillance and deep reinforcement learning using smart grid power system. Computers and Electrical Engineering, 103, 108273. Search in Google Scholar

[4] Wu, Z., Zhou, L., Lin, T., Zhou, X., Wang, D., Gao, S., & Jiang, F. (2020). A new testing method for the diagnosis of winding faults in transformer. IEEE Transactions on Instrumentation and Measurement, 69(11), 9203-9214. Search in Google Scholar

[5] Soni, R., & Mehta, B. (2021). Review on asset management of power transformer by diagnosing incipient faults and faults identification using various testing methodologies. Engineering Failure Analysis, 128, 105634. Search in Google Scholar

[6] Dong, D., Agamy, M., Bebic, J. Z., Chen, Q., & Mandrusiak, G. (2019). A modular SiC high-frequency solid-state transformer for medium-voltage applications: Design, implementation, and testing. IEEE Journal of Emerging and Selected Topics in Power Electronics, 7(2), 768-778. Search in Google Scholar

[7] Abbasi, A. R., Mahmoudi, M. R., & Arefi, M. M. (2021). Transformer winding faults detection based on time series analysis. IEEE Transactions on Instrumentation and Measurement, 70, 1-10. Search in Google Scholar

[8] Kaczmarek, M. L., & Stano, E. (2019). Application of the inductive high current testing transformer for supplying of the measuring circuit with distorted current. IET Electric Power Applications, 13(9), 1310-1317. Search in Google Scholar

[9] Aizpurua, J. I., Catterson, V. M., Stewart, B. G., McArthur, S. D., Lambert, B., Ampofo, B., ... & Cross, J. G. (2018). Power transformer dissolved gas analysis through Bayesian networks and hypothesis testing. IEEE Transactions on Dielectrics and Electrical Insulation, 25(2), 494-506. Search in Google Scholar

[10] Siegenthaler, S., & Mester, C. (2017). A computer-controlled calibrator for instrument transformer test sets. IEEE Transactions on Instrumentation and Measurement, 66(6), 1184-1190. Search in Google Scholar

[11] Banaszak, S., & Szoka, W. (2018). Cross test comparison in transformer windings frequency response analysis. Energies, 11(6), 1349. Search in Google Scholar

[12] Zhou, H., Yan, X., & Liu, G. (2019, April). A review on voltage control using on-load voltage transformer for the power grid. In IOP Conference Series: Earth and Environmental Science (Vol. 252, No. 3, p. 032144). IOP Publishing. Search in Google Scholar

[13] Crotti, G., Gallo, D., Giordano, D., Landi, C., Luiso, M., & Modarres, M. (2017). Frequency response of MV voltage transformer under actual waveforms. IEEE Transactions on Instrumentation and Measurement, 66(6), 1146-1154. Search in Google Scholar

[14] Heidary, A., Rouzbehi, K., Radmanesh, H., & Pou, J. (2020). Voltage transformer ferroresonance: An inhibitor device. IEEE Transactions on Power Delivery, 35(6), 2731-2733. Search in Google Scholar

[15] Moutis, P., & Alizadeh-Mousavi, O. (2020). Digital twin of distribution power transformer for real-time monitoring of medium voltage from low voltage measurements. IEEE Transactions on Power Delivery, 36(4), 1952-1963. Search in Google Scholar

[16] Faifer, M., Laurano, C., Ottoboni, R., Toscani, S., & Zanoni, M. (2018). Characterization of voltage instrument transformers under nonsinusoidal conditions based on the best linear approximation. IEEE Transactions on Instrumentation and measurement, 67(10), 2392-2400. Search in Google Scholar

[17] Mitolo, M., & Bajzek, T. J. (2018). New generation tester to assess the electrical safety in low-voltage distribution systems. IEEE Transactions on Industry Applications, 55(1), 106-110. Search in Google Scholar

[18] Velásquez, R. M. A., & Lara, J. V. M. (2020). Root cause analysis improved with machine learning for failure analysis in power transformers. Engineering Failure Analysis, 115, 104684. Search in Google Scholar

[19] Purbawa, I. M., Ardana, I. W. R., Budarsa, I. G. K. S., & Saputra, I. G. N. A. D. (2020, March). Low-cost transformer tester for laboratory module. In Proceedings (pp. 138-148). Search in Google Scholar

[20] Alrashidi Musaed. (2022). Community Battery Storage Systems Planning for Voltage Regulation in Low Voltage Distribution Systems. Applied Sciences(18),9083-9083. Search in Google Scholar

[21] LeiguangDuan,XuerenWang,BinbinZhang & HongfuQiang. (2024). Quantitative detection of aging damage of solid propellant based on frequency impedance spectroscopy combined with CARS‐SVM algorithm. Propellants, Explosives, Pyrotechnics(6). Search in Google Scholar

[22] Zijie Meng,Tingzhe Pan,Wei Zhou,Xin Jin,Jue Hou,Wangzhang Cao & Ke Li. (2024). Decentralized control strategy of thermostatically controlled loads considering the energy efficiency ratio and measurement error correction. Frontiers in Energy Research. Search in Google Scholar

[23] Shahid Ahmad Bhat,Sundas Naqeeb Khan,Zulqurnain Sabir,M.M. Babatin,Atef F. Hashem,M.A. Abdelkawy & Soheil Salahshour. (2024). A neural network computational procedure for the novel designed singular fifth order nonlinear system of multi-pantograph differential equations. Knowledge-Based Systems112314-112314. Search in Google Scholar