Araştırma Makalesi

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

Cilt: 12 Sayı: 2 30 Aralık 2022
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Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers

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

Kaynakça

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  3. [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. [4] Taylor C. W., Power System Voltage Stability, EPRİ Power System Engineering Series, McGraw Hill, 1994.
  5. [5] Bollen, M.H.J., Understanding Power Quality Problems, Voltage Sags and Interruptions, 2000, New York: IEEE Press.
  6. [6] Tuncay, N., Elektrik Enerji Kalitesinin Tanımı, Ocak-Şubat2001, Elektrokent perpa dergisi.
  7. [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. [8] Sauer, P. W. and Pai, M.A., Power System Dynamics and Stability, Premice Hail, NewJersey, 1998.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Elektrik Mühendisliği

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Aralık 2022

Gönderilme Tarihi

17 Ekim 2022

Kabul Tarihi

7 Aralık 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 12 Sayı: 2

Kaynak Göster

APA
Akar, O. (2022). Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers. European Journal of Technique (EJT), 12(2), 198-203. https://doi.org/10.36222/ejt.1190240
AMA
1.Akar O. Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers. EJT. 2022;12(2):198-203. doi:10.36222/ejt.1190240
Chicago
Akar, Onur. 2022. “Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers”. European Journal of Technique (EJT) 12 (2): 198-203. https://doi.org/10.36222/ejt.1190240.
EndNote
Akar O (01 Aralık 2022) Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers. European Journal of Technique (EJT) 12 2 198–203.
IEEE
[1]O. Akar, “Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers”, EJT, c. 12, sy 2, ss. 198–203, Ara. 2022, doi: 10.36222/ejt.1190240.
ISNAD
Akar, Onur. “Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers”. European Journal of Technique (EJT) 12/2 (01 Aralık 2022): 198-203. https://doi.org/10.36222/ejt.1190240.
JAMA
1.Akar O. Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers. EJT. 2022;12:198–203.
MLA
Akar, Onur. “Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers”. European Journal of Technique (EJT), c. 12, sy 2, Aralık 2022, ss. 198-03, doi:10.36222/ejt.1190240.
Vancouver
1.Onur Akar. Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers. EJT. 01 Aralık 2022;12(2):198-203. doi:10.36222/ejt.1190240

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