Abstract
As a result of
modernization and development of technology, demand of electrical energy
increased. Thus, network stabilization, reliability of energy system, service
to customer and power quality becomes more crucial. Especially, assets in
transmission system, such as power transformers, have a vital role because of
the probability of effect to the whole network. Recently, electric utilities
with deregulation and competitive market structure are focused reducing
operational costs and increasing life expectancy of the assets with some
strategies. For instance, diversify of maintenance strategies and particular
instruments of condition monitoring. In this study, it is adverted commonly
preferred maintenance strategies and power transformer condition monitoring
methods. Subsequently, a case study about the determination of correct
maintenance strategy for power transformers is applied with K-Means clustering
method.
References
- Abu-Elanien, A.E.B., Salama, M.M.A., 2010. Asset management techniques for transformers. Electric Power Systems Research, 80(4): 456‑464.
- Biçen, Y., 2012. Güç transformatörlerini izleme ve arıza önleme odaklı akıllı yönetim sisteminin gelştirilmesi. Doktora Tezi, Kocaeli Üniversitesi, 197 s.
- CIGRE Working Group, 1983. An international surveys on failures in large power transformers in services, Electra, 88: 21‑48.
- Das, A.K., Tian, H., Wei, Z., Vaisambhayana, S., 2017. Accurate calculation of winding resistance and ınfluence of ınterleaving to mitigate ac effect in a medium-frequency high-power transformer. 2017 Asian Conference on Energy, Power and Transportation Electrification (ACEPT).
- Duval, M., 2002. A review of faults detectable by gas-in-oil analysis in transformers. IEEE Electrical Insulation Magazine, 18(3): 8‑17.
- Fan, J., Wang, F., Sun, Q., Bin, F., Ye, H., Liu, Y., 2017. An Online Monitoring System for Oil Immersed Power Transformer Based on SnO2GC Detector with a New Quantification Approach. IEEE Sensors Journal, 17(20): 6662‑6671.
- Kung, P., Idsinga, R., Fu, J. Bin, Durand, H.C.V., Yang, C.S., Comanici, M.I., 2016. Online detection of windings distortion in power transformers by direct vibration measurement using a thin fiber optics sensor. 34th Electrical Insulation Conference, EIC 2016, pp: 576‑578.
- Masoum, A.S., Hashemnia, N., Abu-Siada, A., Masoum, M.A.S., Islam, S.M., 2017. Online Transformer Internal Fault Detection Based on Instantaneous Voltage and Current Measurements Considering Impact of Harmonics. IEEE Transactions on Power Delivery, 32(2): 587‑598.
- Murat, I., 2008. Güç Transformatör Arızalarının İncelenmesi. Yüksek Lisans Tezi, Gazi Üniversitesi, s. 250.
- Murugan, R., Ramasamy, R., 2015. Failure analysis of power transformer for effective maintenance planning in electric utilities. Engineering Failure Analysis, 55: 182‑192.
- Rahimpour, H., Mitchell, S., Rahimpour, S., 2017. Online monitoring of power transformers using impulse frequency response analysis. 2017 Iranian Conference on Electrical Engineering (ICEE), pp: 1390‑1394.
- Rojas, A., 2006. Power factor testing in transformer condition assessment - Is there a better way?. 2006 IEEE PES Transmission and Distribution Conference and Exposition, pp: 3‑6.
- Schneider, J., Gaul, AJ., Neumann, C., Hogräfer, J., Wellßow, W., Schwan, M., Schnettler, A., 2006. Asset management techniques. International Journal of Electrical Power & Energy Systems, 28(9): 643‑654.
- Seo, J., Ma, H., Saha, T.K., 2017. A Joint Vibration and Arcing Measurement System for Online Condition Monitoring of Onload Tap Changer of the Power Transformer. IEEE Transactions on Power Delivery, 32(2): 1031‑1038.
- Silva, J.R., Bastos, J.P.A., 2017. Online Evaluation of Power Transformer Temperatures Using Magnetic and Thermodynamics Numerical Modeling. IEEE Transactions on Magnetics, 53(6): 1‑4.
- Wang, M., Vandermaar, A.J., Srivastava, K.D., 2002. Review of condition assessment of power transformers in service. IEEE Electrical Insulation Magazine, 18(6): 12‑25.
Abstract
Teknolojik
gelişmelere bağlı olarak elektrik enerjisine olan ihtiyacın hızla artması
sebebiyle, güç transformatörlerinde oluşabilecek arızaların sosyal hayata ve
ekonomik gelişime etkilerinin kritik bir öneme sahip olduğu açıktır. Çeşitli
sebeplere bağlı olarak, güç transformatörlerinde oluşabilecek arızalar,
sensörler ve bakım-onarım yöntemleri sayesinde, meydana gelmeden veya başlangıç
aşamasında tespit edilebilmektedir. Bu makalede, meydana gelmiş arıza istatistikleri
incelenerek, transformatörlerin yaşları, yüklenme oranları ve güçleri dikkate
alınarak uygun bakım-onarım yönteminin belirlenmesine yönelik bir çalışma
yapılmıştır. Belirli bir transformatör grubuna uygun bakım-onarım yönteminin
belirlenmesine yönelik bir yaklaşım olması açısından K-ortalamalar algoritması
tercih edilmiştir. Kümeleme sonuçları yorumlanmış ve güç transformatörlerine
uygun bakım-onarım yöntemleri belirlenmiştir.
References
- Abu-Elanien, A.E.B., Salama, M.M.A., 2010. Asset management techniques for transformers. Electric Power Systems Research, 80(4): 456‑464.
- Biçen, Y., 2012. Güç transformatörlerini izleme ve arıza önleme odaklı akıllı yönetim sisteminin gelştirilmesi. Doktora Tezi, Kocaeli Üniversitesi, 197 s.
- CIGRE Working Group, 1983. An international surveys on failures in large power transformers in services, Electra, 88: 21‑48.
- Das, A.K., Tian, H., Wei, Z., Vaisambhayana, S., 2017. Accurate calculation of winding resistance and ınfluence of ınterleaving to mitigate ac effect in a medium-frequency high-power transformer. 2017 Asian Conference on Energy, Power and Transportation Electrification (ACEPT).
- Duval, M., 2002. A review of faults detectable by gas-in-oil analysis in transformers. IEEE Electrical Insulation Magazine, 18(3): 8‑17.
- Fan, J., Wang, F., Sun, Q., Bin, F., Ye, H., Liu, Y., 2017. An Online Monitoring System for Oil Immersed Power Transformer Based on SnO2GC Detector with a New Quantification Approach. IEEE Sensors Journal, 17(20): 6662‑6671.
- Kung, P., Idsinga, R., Fu, J. Bin, Durand, H.C.V., Yang, C.S., Comanici, M.I., 2016. Online detection of windings distortion in power transformers by direct vibration measurement using a thin fiber optics sensor. 34th Electrical Insulation Conference, EIC 2016, pp: 576‑578.
- Masoum, A.S., Hashemnia, N., Abu-Siada, A., Masoum, M.A.S., Islam, S.M., 2017. Online Transformer Internal Fault Detection Based on Instantaneous Voltage and Current Measurements Considering Impact of Harmonics. IEEE Transactions on Power Delivery, 32(2): 587‑598.
- Murat, I., 2008. Güç Transformatör Arızalarının İncelenmesi. Yüksek Lisans Tezi, Gazi Üniversitesi, s. 250.
- Murugan, R., Ramasamy, R., 2015. Failure analysis of power transformer for effective maintenance planning in electric utilities. Engineering Failure Analysis, 55: 182‑192.
- Rahimpour, H., Mitchell, S., Rahimpour, S., 2017. Online monitoring of power transformers using impulse frequency response analysis. 2017 Iranian Conference on Electrical Engineering (ICEE), pp: 1390‑1394.
- Rojas, A., 2006. Power factor testing in transformer condition assessment - Is there a better way?. 2006 IEEE PES Transmission and Distribution Conference and Exposition, pp: 3‑6.
- Schneider, J., Gaul, AJ., Neumann, C., Hogräfer, J., Wellßow, W., Schwan, M., Schnettler, A., 2006. Asset management techniques. International Journal of Electrical Power & Energy Systems, 28(9): 643‑654.
- Seo, J., Ma, H., Saha, T.K., 2017. A Joint Vibration and Arcing Measurement System for Online Condition Monitoring of Onload Tap Changer of the Power Transformer. IEEE Transactions on Power Delivery, 32(2): 1031‑1038.
- Silva, J.R., Bastos, J.P.A., 2017. Online Evaluation of Power Transformer Temperatures Using Magnetic and Thermodynamics Numerical Modeling. IEEE Transactions on Magnetics, 53(6): 1‑4.
- Wang, M., Vandermaar, A.J., Srivastava, K.D., 2002. Review of condition assessment of power transformers in service. IEEE Electrical Insulation Magazine, 18(6): 12‑25.
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Electrical Engineering |
| Journal Section | Araştırma Articlessi \ Research Articles |
| Authors | |
| Publication Date | September 15, 2019 |
| Submission Date | November 19, 2018 |
| Acceptance Date | March 12, 2019 |
| Published in Issue | Year 2019 Volume: 7 Issue: 3 |