Search for Author, Title, Keyword
RESEARCH PAPER
Analysis of the exploitation failure rate in Polish MV networks
 
 
More details
Hide details
1
Faculty of Electrical Engineering Czestochowa University of Technology ul. Armii Krajowej 17, 42-201 Częstochowa, Poland
 
 
Publication date: 2018-09-30
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2018;20(3):413-419
 
KEYWORDS
ABSTRACT
The paper presents an analysis of exploitation failure rate in MV overhead and cable lines and in MV/LV transformers in the Polish power system. The reliability analysis is carried out by means of a non-parametric method using kernel estimators. The data are obtained from power networks of various operating conditions, and because of that the weight of data is taken into consideration. Additionally, the paper offers an innovative way of presenting the reliability data in a graphic form.
 
REFERENCES (23)
1.
6th CEER Benchmarking Report on the Quality of Electricity and Gas Supply. Brussels: CEER, 2016.
 
2.
Billinton R, Allan R. Reliability Evaluation of Power Systems. Second edition. New York: Plenum Press, 1996, https://doi.org/10.1007/978-1-....
 
3.
Briš R, Byczanski P, Goňo R, Rusek S. Discrete maintenance optimization of complex multi-component systems. Reliability Engineering & System Safety 2017; 168: 80-89, https://doi.org/10.1016/j.ress....
 
4.
Brown R, Ochoa J. Distribution system reliability: default data and model validation. IEEE Transactions on Power Systems 1998; 13: 704-709, https://doi.org/10.1109/59.667....
 
5.
Chojnacki A. Analiza niezawodności eksploatacyjnej elektroenergetycznych sieci dystrybucyjnych. Kielce: Wyd. Politechniki Świętokrzyskiej, 2013.
 
6.
Ilie I, Hernando-Gil I, Djokic S. Reliability equivalents of LV and MV distribution networks. IEEE International Energy Conference and Exhibition ENERGYCON 2012; 343-348, https://doi.org/10.1109/Energy....
 
7.
Kornatka M. Assessment of working conditions of 110 kV line. 16th International Scientific Conference on Electric Power Engineering 2015; 296-300.
 
8.
Kornatka M, Gawlak A. Comparative Analysis of Operating Conditions in Polish Medium-voltage and 110 kV Networks. Proceedings of the 8th International Scientific Symposium on Electrical Power Engineering 2015; 57-60.
 
9.
Kornatka M. The weighted kernel density estimation methods for analysing reliability of electricity supply. 17th International Scientific Conference on Electric Power Engineering 2016; 2-5, https://doi.org/10.1109/EPE.20....
 
10.
Kolcun M, Kornatka M, Gawlak A, Čonka Z. Benchmarking the reliability of medium-voltage lines. Journal of Electrical Engineering 2017; 68(3): 212-215, https://doi.org/10.1515/jee-20....
 
11.
Kulczycki P. Estymatory jądrowe w analizie systemowej. Warszawa: WNT, 2005.
 
12.
Müller H, Wang J. Density and failure rate estimation with application to reliability. Contribution to the Encyclopedia of Statistics in Quality and Reliability. Department of Statistics University of California; 2007.
 
13.
Paska J. Chosen aspects of electric power system reliability optimization. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2013; 15 (2): 202-208.
 
14.
Paska J. Niezawodność systemów elektroenergetycznych. Warszawa: Oficyna Wyd. Politechniki Warszawskiej, 2005.
 
15.
R Core Team Copyright C. Środowisko i program R, 1999-2017. Available: https://cran.r-project.org.
 
16.
Saleh J, Marais K. Highlights from the early (and pre-) history of reliability engineering. Reliability Engineering & System Safety 2006; 91: 249-256, https://doi.org/10.1016/j.ress....
 
17.
Sheather S, Jones M. A reliable data-based bandwidth selection method for kernel density estimation. Journal of the Royal Statistical Society.Series B 1991; 53(3): 683-690.
 
18.
Silverman B. Density Estimation for Statistics and Data Analysis. Chapman and Hall, 1986, https://doi.org/10.1007/978-1-....
 
19.
Statystyka elektroenergetyki polskiej, Warszawa: Agencja Rynku Energii S.A. 2012- 2016.
 
20.
Turlach B. Bandwidth selection in kernel density estimation: A rewiew. Working Paper. Université catholique de Louvain 1994.
 
21.
Venables W, Ripley B. Modern Applied Statistics with S. New York: Springer, 2002, https://doi.org/10.1007/978-0-....
 
22.
Wand M, Jones M. Kernel Smoothing. Vol. 60 of Monographs on Statistics and Applied Probability London: Chapman and Hall, 1995, https://doi.org/10.1007/978-1-....
 
23.
Wasserman L. All of Nonparametric Statistics. New York: Springer, 2007.
 
 
CITATIONS (6):
1.
Analysis of Cable Screen Currents for Diagnostics Purposes
Krzysztof Lowczowski, Zbigniew Nadolny, Bartosz Olejnik
Energies
 
2.
Improving power continuity by the installation of reclosers: Case study
Jerzy Wojciechowski, Tomasz Ciszewski, Waldemar Nowakowski, Zbigniew Lukasik
2020 ELEKTRO
 
3.
Risk of power cables insulation failure due to the thermal effect of solar radiation
Stanisław Czapp, Seweryn Szultka, Filip Ratkowski, Adam Tomaszewski
Eksploatacja i Niezawodność – Maintenance and Reliability
 
4.
Energy losses’ reduction in metallic screens of MV cable power lines and busbar bridges composed of single-core cables
Jerzy Andruszkiewicz, Józef Lorenc, Krzysztof Łowczowski, Agnieszka Weychan, Józef Zawodniak
Eksploatacja i Niezawodność – Maintenance and Reliability
 
5.
Analysis of the possibilities to improve the reliability of a 15 kV overhead line exposed to catastrophic icing in Poland
Andrzej Gołaś, Wojciech Ciesielka, Krystian Szopa, Paweł Zydroń, Wojciech Bąchorek, Mariusz Benesz, Aleksander Kot, Szczepan Moskwa
Eksploatacja i Niezawodność – Maintenance and Reliability
 
6.
Exploitation Perspective Index as a Support of the Management of the Transformer Fleet
Michał Kunicki, Sebastian Borucki, Jan Fulneček
Sensors
 
eISSN:2956-3860
ISSN:1507-2711
Journals System - logo
Scroll to top