The determination of the running reliability of the system with the method of polynomial regression for electricity transmission lines

Year 2016, , 49 - 52, 30.06.2016

Şakir Parlakyıldız , Muhsin Tunay Gençoğlu

https://doi.org/10.17678/beujst.38759

Abstract

One of the most essential data of the social and economic development accepted all around the world is energy. The reasons such as the rapidity of the urbanization and industrialization and rapid increase in population cause to the continuous and indispensable increase in the demand for energy. While the demand for electricity energy is so high, what is important in terms of the user is the submission of the continuous and qualified energy to their own usage. In this study, the failures and power transformer failures occurring in Turkey electricity transmission system have been detected as hourly, monthly and annually and in this way; with the use of these data, the reasons for the failures have been examined and suggestions for solutions have been studied and it has provided opportunities for the conduction of preventive maintenance and repair works in the future. When the failure numbers of 380 kV lines have been examined, it is seen that some lines paint a very negative picture. When the failing lines have been monthly examined, it is seen that there is an accumulation in terms of failure in April-May and August-September periods. By means of this study; the failures occurring in the energy transmission lines have been classified on the basis of hour, month and year and the running reliability of the system in the transmission lines to be established in the future has been determined.

 

Keywords

Transmission Lines, Maintenance-Repair In The Transmission Lines, Short Circuit Analysis, Power Analysis

References

• Aydogmus, Zafer, and Mehmet Cebeci. A new flashover dynamic model of polluted HV insulators. Dielectrics and electrical ınsulation, ıeee transactions 2004; (11)4: 577-584.
• Cengiz, Mehmet Sait, and Mehmet Salih Mamiş. Endüstriyel tesislerde verimlilik ve güneş enerjisi kullanımı. VI. Enerji verimliliği kalitesi sempozyunu ve sergisi, sakarya 2015: 21-25.
• Ceylan, H. Analysis of fatal occupational accidents in turkey for the year 2013. Journal of multidisciplinary engineering science and technology 2015; 2(3): 314-320.
• Ceylan, H. An artificial neural networks approach to estimate occupational accident: a national perspective for turkey. Mathematical problems in engineering 2014; Article ID 756326: 10 pages.
• Ceylan, H. Analysis of occupational accidents according to the sectors in turkey. Gazi University Journal of Science 2012; 25(4): 909-918.
• Gençoğlu, Muhsin Tunay, and Mehmet Cebeci. The pollution flashover on high voltage insulators. electric power systems research 2008; 78(11): 1914-1921.
• Liu H, Jiang W, Hulio Z, Wang Q. Estimation of system reliability by using the PLS-regression based corrected response surface method. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2016; 18 (2): 260–270.
• NI X, Zhao J, Song W, Guo C, Li H. Nonlinear degradation modeling andmaintenance policy for a two-stage degradation system based on cumulative damage model. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2016; 18 (2): 171–180.
• Efe SB. Cebeci M. 2015. Mikro Şebekenin Farklı İşletme Koşulları Altında İncelenmesi, 6. Enerji Verimliliği Kalitesi Sempozyumu, 4-6 Haziran 2015, Sakarya, Türkiye.
• Cengiz MS. 2014. System Optimization On Smart Grid, International Journal of Electrical and Electronics Engineering, 1(8), pp. 28-32.
• Mamiş MS. 2003. Computation of electromagnetic transients on transmission lines with nonlinear components, Generation, Transmission and Distribution, IEE Proceedings- 150 (2), 200-204.
• Efe SB. Cebeci M. 2015. Artificial Neural Network Based Power Flow Analysis for Micro Grids, Bitlis Eren Univ J Sci & Technology, 5(1), pp. 42-47.