Fuzzy logic applied to the diagnosis of technical conditions of distribution transformers

被引:0
作者
Gil E.S. [1 ]
Sivilla J.E.M. [1 ]
González A.S. [1 ]
Cabrera Y.F. [2 ]
机构
[1] Department of Electrical Engineering, University of Camagüey “Ignacio Agramonte Loynaz”, Camagüey
[2] Department of Research & Development, AMV Solutions, Madrid
来源
Journal of Engineering and Applied Science | 2023年 / 70卷 / 01期
关键词
Diagnosis; Distribution transformers; Electrical distribution networks; Fuzzy logic; Technical condition;
D O I
10.1186/s44147-023-00301-w
中图分类号
学科分类号
摘要
The distribution transformers are one of the most important elements for the operation of the distribution networks, considering their quantity and dispersion in the network, and that the failures cause great economic losses, both from the point of view of the transformer itself and of the cost of the energy left to serve. The technical condition of the distribution transformers depends on multiple external factors that influence the loss of useful life of the same, and therefore, it is necessary to relate them for a correct diagnosis. In the present work, a method based on fuzzy logic is developed for the diagnosis of distribution transformers, considering the international regulations that govern its operation. The resulting procedure was implemented using the fuzzy toolbox of MATLAB programming tools version 9.8 (R2020a). A random sample of transformers in three distribution circuits was evaluated, and the results correspond to that established in the IEEE C57.91 standard of 2011. © 2023, Faculty of Engineering, Cairo University.
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共 41 条
[1]  
Jalbert J., Rodriguez-Celis E.M., Arroyo-Fernandez O.H., Et al., Methanol marker for the detection of insulating paper degradation in transformer insulating oil, Energies, 12, (2019)
[2]  
Anghel I.A.C., Gatman E., Transformer lifetime management by analyzing the content of furan and gas dissolved in oil, E3S Web Conf, 112, (2019)
[3]  
Jahromi A., Piercy R., Cress S., Et al., An approach to power transformer asset management using health index, IEEE Electr Insul Mag, 25, pp. 20-34, (2009)
[4]  
Rodriguez-Serna J.M., Albarracin-Sanchez R., Garnacho F., Et al., Partial discharges measurements for condition monitoring and diagnosis of power transformers: a review. In: 2019 6th International Advanced Research Workshop on Transformers (ARWtr), pp. 83-88, (2019)
[5]  
Rojas H.E., Rojas H.D., Cruz A.S., Denoising of electrical signals produced by partial discharges in distribution transformers using the local polynomial approximation and the criterion of non-parametric estimators, Proceedings of the 21St International Symposium on High Voltage Engineering, pp. 740-750, (2020)
[6]  
Shiling Z., Yongliang J., Xiping J., Research on method of mechanical state characteristics diagnosis based on STFT and RVM for transformer winding, 2020 IEEE 3Rd International Conference on Electronics Technology (ICET), pp. 271-277, (2020)
[7]  
Sao K., Chilukuri M.V., Joint time-frequency analysis of partial discharge AE signals for pattern recognition, 2022 International Conference for Advancement in Technology (ICONAT). Goa, India, pp. 1-6, (2022)
[8]  
Ab Ghani S., Md Thayoob Y.H., Yang Ghazali Y.Z., Et al., Comparative study of worldwide standards for interpreting frequency response analysis (FRA) results of distribution transformers, Appl Mech Mater, 793, pp. 144-148, (2015)
[9]  
Bohari Z.H., Baharom M.F., Sulaima M.F., Et al., Assessment of transformer core and winding conditions for distribution transformers using sweep frequency response analysis waveforms, AIP Conf Proc, 1660, (2015)
[10]  
Al-Ameri S.M., Kamarudin M.S., Yousof M.F.M., Et al., Interpretation of frequency response analysis for fault detection in power transformers, Appl Sci, 11, (2021)