Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2020, Cilt: 17 Sayı: 1, 63 - 70, 01.05.2020

Öz

Kaynakça

  • [1] A. Abu-Siada, S. Islam, A novel on line technique to detect power transformer winding faults, IEEE Trans. Power Delivery, 27(2), (2012), 849-857.
  • [2] V. Behjat, A. Vahedi, Numerical modelling of transformers interturn faults and characterising the faulty transformer behaviour under various faults and operating conditions, IET Electric Power Applications, 5(5), (2011), 415-431.
  • [3] A. Koochaki, S. M. Kouhsari, G. Ghanavati, Transformer Internal Faults Simulation, Advances in Electrical and Computer Engineering, 8(2), (2008), 23-28.
  • [4] P. P. Buckle, K. L. Butler, N. D. R. Sarma, A. Kopp, Simulation of Incipient Transformer Faults, IEEE Midwest Symposium on Circuits and Systems, (1998), 50-53.
  • [5] X. Lei, J. Li, Y. Wang, S. Mi, C. Xiang, Simulative and experimental investigation of transfer function of inter-turn faults in transformer windings, Electric Power Systems Research, 107(1), (2014), 1-8.
  • [6] H. Z. Ma, Z. Li, P. Ju, J. D. Han, L. M. Zhang, Diagnosis of Power Transformer Faults on Fuzzy Three-Ratio Method, The 7th International Power Engineering Conference, (2005), 453-456.
  • [7] H. C. Sun, Y. C. Huang, C. M. Huang, Fault Diagnosis of Power Transformers Using Computational Intelligence: A Review, Energy Procedia, 14(1), (2012), 1226-1231.
  • [8] D. Wang, W. H. Tang, Q. H. Wu, Ontology-Based Fault Diagnosis for Power Transformers, 2010 IEEE Power and Energy Society General Meeting, (2010), 1-8.

Protection of Transformers with Fuzzy Logic

Yıl 2020, Cilt: 17 Sayı: 1, 63 - 70, 01.05.2020

Öz

Power transformers are one of the most expensive and most important elements in the power system. Malfunctions in power transformers result in significant power cuts and, consequently, material damage. This important problem needs to be solved. Power transformers must be protected from various fault conditions and faults in the power system. In this study, power transformers are significantly protected from failures in power systems. While this process is provided by various protection relays, the differential protection relays are generally used. In this study, protection relays have been controlled by fuzzy logic and protection has been provided in power transformers. The fuzzy based relay algorithm has been composed of flux-differential current derivation curve, harmonic restriction and percentage differential characteristic curves. The fuzzy-based relay algorithm has been coded in Matlab software. The software has been tested on the power transformer control panels at the Erdemli Substation. The electrical and mechanical failures that occurred have been identified in a shorter time. Thus, damage to power transformers is prevented by controlling relays more effectively and faster. This has led to a significant reduction in maintenance and repair costs. It is understood that the study is successful.

Kaynakça

  • [1] A. Abu-Siada, S. Islam, A novel on line technique to detect power transformer winding faults, IEEE Trans. Power Delivery, 27(2), (2012), 849-857.
  • [2] V. Behjat, A. Vahedi, Numerical modelling of transformers interturn faults and characterising the faulty transformer behaviour under various faults and operating conditions, IET Electric Power Applications, 5(5), (2011), 415-431.
  • [3] A. Koochaki, S. M. Kouhsari, G. Ghanavati, Transformer Internal Faults Simulation, Advances in Electrical and Computer Engineering, 8(2), (2008), 23-28.
  • [4] P. P. Buckle, K. L. Butler, N. D. R. Sarma, A. Kopp, Simulation of Incipient Transformer Faults, IEEE Midwest Symposium on Circuits and Systems, (1998), 50-53.
  • [5] X. Lei, J. Li, Y. Wang, S. Mi, C. Xiang, Simulative and experimental investigation of transfer function of inter-turn faults in transformer windings, Electric Power Systems Research, 107(1), (2014), 1-8.
  • [6] H. Z. Ma, Z. Li, P. Ju, J. D. Han, L. M. Zhang, Diagnosis of Power Transformer Faults on Fuzzy Three-Ratio Method, The 7th International Power Engineering Conference, (2005), 453-456.
  • [7] H. C. Sun, Y. C. Huang, C. M. Huang, Fault Diagnosis of Power Transformers Using Computational Intelligence: A Review, Energy Procedia, 14(1), (2012), 1226-1231.
  • [8] D. Wang, W. H. Tang, Q. H. Wu, Ontology-Based Fault Diagnosis for Power Transformers, 2010 IEEE Power and Energy Society General Meeting, (2010), 1-8.
Toplam 8 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Mehmet Zile 0000-0002-0457-2124

Yayımlanma Tarihi 1 Mayıs 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 17 Sayı: 1

Kaynak Göster

APA Zile, M. (2020). Protection of Transformers with Fuzzy Logic. Cankaya University Journal of Science and Engineering, 17(1), 63-70.
AMA Zile M. Protection of Transformers with Fuzzy Logic. CUJSE. Mayıs 2020;17(1):63-70.
Chicago Zile, Mehmet. “Protection of Transformers With Fuzzy Logic”. Cankaya University Journal of Science and Engineering 17, sy. 1 (Mayıs 2020): 63-70.
EndNote Zile M (01 Mayıs 2020) Protection of Transformers with Fuzzy Logic. Cankaya University Journal of Science and Engineering 17 1 63–70.
IEEE M. Zile, “Protection of Transformers with Fuzzy Logic”, CUJSE, c. 17, sy. 1, ss. 63–70, 2020.
ISNAD Zile, Mehmet. “Protection of Transformers With Fuzzy Logic”. Cankaya University Journal of Science and Engineering 17/1 (Mayıs 2020), 63-70.
JAMA Zile M. Protection of Transformers with Fuzzy Logic. CUJSE. 2020;17:63–70.
MLA Zile, Mehmet. “Protection of Transformers With Fuzzy Logic”. Cankaya University Journal of Science and Engineering, c. 17, sy. 1, 2020, ss. 63-70.
Vancouver Zile M. Protection of Transformers with Fuzzy Logic. CUJSE. 2020;17(1):63-70.