Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers

Yıl 2022, , 198 - 203, 30.12.2022

Onur Akar

https://doi.org/10.36222/ejt.1190240

Cited By: 2

Öz

Along with the increasing population, technological developments and industrialization in the world, the need for electrical energy shows rapid increase day by day. For that reason, it is very important to ensure permanence in the process from the generation of electrical energy to its transmission to consumers. One of the most significant components of power systems is the power transformer, and it plays an important role in the process of energy transmission and distribution. Thus, continuous operation of the power transformers should be ensured for the quality and reliability of the power systems. Despite the institutions in charge of electric power generation, transmission and distribution carry out inspections for the continuous operation of the power transformers, failures resulting from voltage drop arise due to overloads. In this study, the estimation through ANN of voltage drop resulting from overloads was performed using the data of power transformers of different quality. It was observed that the values obtained as the result of estimations through ANN were correct with a rate of 99%. It is considered that this study will set an example for other studies in the field.

Anahtar Kelimeler

ANN, Voltage Drop, Power Transformers, Electrical Energy Quality

Kaynakça

• [1] Piercy, R. and Cress, S. L., Recalculation of distribution system energy losses at Hydro One, Kinectrics Inc.,2007.
• [2] Das. J. C. Effects of Momentary Voltage Dips on the Operation of Induction and Synchronous Motors, IEEE Trans. on Industry Applications, Vol. 26, No. 4, pp. 711-717. July/Aug 1990.
• [3] Wang Y., Powver System Load Modelling, Preliminary repon, prepared for Transpovver NZ Ltd., Department of Electrical and Electronic Engineering. Universityof Auckland, May 1997.
• [4] Taylor C. W., Power System Voltage Stability, EPRİ Power System Engineering Series, McGraw Hill, 1994.
• [5] Bollen, M.H.J., Understanding Power Quality Problems, Voltage Sags and Interruptions, 2000, New York: IEEE Press.
• [6] Tuncay, N., Elektrik Enerji Kalitesinin Tanımı, Ocak-Şubat2001, Elektrokent perpa dergisi.
• [7] Chiou, C.-Y., Huang C.-T., Kao W.-S., Dynamic Load Modelling in Power System Stability Studies, IEEE Transactions on Powver Systems. Vol. 10, No.2. pp.907-913, May 1995.
• [8] Sauer, P. W. and Pai, M.A., Power System Dynamics and Stability, Premice Hail, NewJersey, 1998.
• [9] Styvaktakis, E., Bollen, M. H. J., Gu, I. Y. H., Classification of Power System Events: Voltage Dips. in Proc. 9th Int. IEEE Conf. Harmonics Quality Power, Oct. 1-4, 2000, pages pp.745_750.
• [10] Yun, S.-Y., Kim, J.-C., An Evaluation Method of Voltage Sag using a Risk Assessment Model in Power Distribution Systems, Elsevier Science LTD, Electrical Power and Energy Systems 25, 2003, pages pp. 829_839.
• [11] Antoine, M, Nani, G, Ammann, P.A, Lorin, P, Cheim, L, Grano A., Remote Services for Power Generation Equipment, // M. Antoine, G. Nani, P. A. Ammann, P. Lorin, L. Cheim, A. Grano// ABB Power Products, Transformers. – Zurich, Switzerland, 2013. – PP. 1-18.
• [12] Ozgonenel O, Decreasıng The Effect Of The Second Harmonıc Component For Power Transformer Protectıon. Journal of Polytechnic, , 2002, Vol: 5 No: 3 pp. 221-225.
• [13] Mirzai, M., Gholami, A. and Aminifar, F., Failures Analysis and Reliability Calculation for Power Transformers, Journal of electrical system, 2006, 2-1, pp.1-12.
• [14] Wang, M., Vandemaar, A.J. & Srivastava, K.D., Review of condition assessment of power transformers in service. Electrical insulation magazine, IEEE, 2002, Vol. 18, No. 6. 12-25 p.
• [15] Şengül M., Öztürk S., Arsoy A. B, Gencer Ö. Ö., İnan E, Karaarslan K., Gerilim Düşmesi Süresinin Transformatör Mıknatıslanma Akımı Üzerindeki Etkileri, syf.4, acedemy.edu.tr.
• [16] Campbell A., McHattie R., Backfilling the Sinewave – A Dynamic Voltage Restorer Case Study,IEE Power Engineering Journal, Vol. 13, No. 3, June 1999 pp. 153.
• [17] Bollen M.H.J., Understanding Power Quality Poblems, Voltage Sags and Interruptions, IEEE Basımı, 2000, New York.
• [18] Styvaktakis E., Bollen M.H.J., Transformer saturation after a voltage dip, IEEE Power Eng. Rev. Vol. 20, pp. 62-64, Nisan 2000.
• [19] Guasch L., Pedra J., Effects of Symmetrical Voltage Sags on Three-Phase Three-Legged Transformers, IEEE Transactions on Power Delivery, Vol. 19, No.2, Nisan 2004.
• [20] https://www.doganates.com/userfiles/images/maksan.pdf
• [21] https://medium.com/şu-kara-kutuyu-açalim-yapay-sinir-ağları
• [22] Medsker L. R., The future of artificial neural networks could be bright, Computers/Control engineering, 10, 28-9, 1997.
• [23] Kalogirou S. A.,Applications of Artificial Neural Networks in Energy Systems a Review, Conference of the IEEE, 5-8 Nov, 2007, Energy Conversion and Management, 40, 1073-1087, (1999).
• [24] Jin L. V., Summary of Artificial Neuron Model Research. Industrial Electronics Society, 33rd Annual Conference of the IEEE, 5-8 Nov.2007.
• [25] Amnatsan S., Kuribayashi D., Jayawardena A. W., Application of Artificial Neural Networks and Wavelet Analysis in Prediction of Water Level in Nan River of Thailand, Proceeding of Annual Conference, 2010 volume 23 1December 01, Journal of Light & Visual Environment, 2010.
• [26] Freeman, J.A., and Skapura, D.M., Neural Networks: Algorithms, Applications, and Programming Techniques, Addison-Wesley Publishing Company, 1992. [27] Micheletti N., Chandler J. H., Lane S., "Investigating the geomorphological potential of freely available and accessible structure- from-motion photogrammetry using a smartphone", Earth Surf. Proc. Land. 40 (4), 2015, 473– 486.
• [28] Freeman, J.A., and Skapura, D.M., Neural Networks: Algorithms, Applications, and Programming Techniques, Addison-Wesley Publishing Company, 1992.
• [29] Arslan A., İnce R, The neural network approximation to the size effect in fracture of cementitious materials, Engineering Fracture Mechanics, ,1996, 54(2): 249-261.
• [30] Fausett, L., Fundamentals Of Neural Network, Architectures, Algorithms, And Applications, 1994.
• [31] Rempel, A. G., Mautiuk R., "Display considerations for improved night vision performance",in Proc. 19th Color Imag, Conf.: Color Sci. Eng. Syst., Technol., Appl. (CIC), Atlanta, CA, USA, 2011, pp. 191–194,.