Keywords
Failure analysis
Insulation testing
Power systems
Power transformers
Análisis de fallas
Análisis químico
prueba de aislamiento
sistemas eléctricos de potencia
transformador de potencia
How to Cite
Abstract
The development of condition monitoring methods that follow the evolution of the degradation of power transformers (PT), is essential for a safe and reliable operation of power systems. Having condition monitoring tools has become a priority for utilities, this being a complex task, since different stresses are combined, such as: electrical, chemical and mechanical. Some authors propose the use of health indices (HI) that include the condition of the PT in a single parameter, to support the personal relationship with the decision-making process. To obtain the HI, the results of different tests are used to verify the status of the PT. This will be the basis for evaluating the global health and facilitating the identification of failure modes present in the PT and its subsystems, which lead to generalized degradation, or in key subsystems, which can lead to the end of the useful life of the PT. This research proposes a novel tool to evaluate power transformers based on a compound HI. The HI was obtained using: i) condition data, and ii) condition functions. The results obtained are weighted, reaching a final value that reflects the condition of the PT. It was possible to determine with expert criteria the importance of each executed test, granting the importance weights. The results showed a good performance of the proposed HI evaluating real transformers. This indicates that moving towards the use of HI to assess the condition of power transformers improves the reliability of electrical networks and, with this, the service to users.
References
A. Abu-Elanien, M. Salama, y M. Ibrahim “Determination of transformer health condition using artificial neural networks” presentado en International Symposium on Innovations in Intelligent SysTems and Applications, 2011, pp. 1–5, doi: 10.1109/INISTA.2011.5946173.
S. Ghoneim y I. Taha, “Comparative study of full and reduced feature scenarios for health index computation of power transformers” IEEE Access, vol. 8, pp. 181326–181339, 2020, doi: 10.1109/ACCESS.2020.3028689.
M. Dong et al., “A novel maintenance decision making model of power transformers based on reliability and economy assessment” IEEE Access, vol. 7, pp. 28778–28790, 2019, doi: 10.1109/ACCESS.2019.2897606.
K. Benhmed, A. Mooman, A. Younes, K. Shaban, y A. El-Hag, “Feature selection for effective health index diagnoses of power transformers” IEEE Transactions on Power Delivery, vol. 33, no. 6, pp. 3223–3226, 2017, doi: 10.1109/TPWRD.2017.2762920.
P. Bohatyrewicz, J. Płowucha, y J. Subocz, “Condition assessment of power transformers based on health index value” Applied Sciences, vol. 9, no. 22, 2019, doi: 10.3390/app9224877.
A. Ashkezari, H. Ma, C. Ekanayake, y T. Saha, “Multivariate analysis for correlations among different transformer oil parameters to determine transformer health index” presentado en IEEE Power and Energy Society General Meeting, 2012, pp. 1–7, doi: 10.1109/PESGM.2012.6345231.
G. Gómez-Ramírez, “Metodología para el análisis y retiro de activos: transformadores de potencia” Revista Tecnología en Marcha, vol. 28, no. 3, p. 116-126, 2015, doi: 10.18845/tm.v28i3.2416.
S. Kittan, S. Kornhuber, P. Kastel, G. Nitsche, G. Valtin, y M. Weise, “Review and implementation of transformer health index methods in line with the development of a condition assessment tool” presentado en International Conference on Diagnostics in Electrical Engineering, Diagnostika, 2018, pp. 5–8, doi: 10.1109/DIAGNOSTIKA.2018.8526034.
R. Arias y J. Mejia, “Health index for transformer condition assessment” IEEE Latin America Transactions, vol. 16, no. 12, pp. 2843–2849, 2018, doi: 10.1109/tla.2018.8804247.
A. Selva et al., “Application of statistical distribution models to predict health index for condition-based management of transformers” Applied Sciences, vol. 11, no. 6, pp. 1–20, 2021, doi: 10.3390/app11062728.
L. Acuña-Barrantes y G. Gómez-Ramírez, “Metodología indirecta para la estimación de vida útil residual de transformadores de potencia a partir de la evaluación de los materiales dieléctricos” Revista Tecnología en Marcha, vol. 33, no. 3, pp. 45–56, 2020, doi: 10.18845/tm.v33i3.4485.
G. Jiménez-Araya y G. Gómez-Ramírez, “Comportamiento de los aislamientos sólidos de transformadores de potencia en condiciones ambientales no controladas” Tecnología en Marcha, vol. 29, no. 3, pp. 99–116, 2016, doi: tm.v29i3.2891.
S. Li y H. Dong, “Transformer apparent age estimation based on probabilistic health index” presentado en IEEE PES Innovative Smart Grid Technologies Asia, ISGT, 2019, no. 1, pp. 3936–3940, doi: 10.1109/ISGT-Asia.2019.8881798.
R. Prasojo, N. Maulidevi, B. Soedjarno, y S. Suwarno, “Health index analysis of power transformer with incomplete paper condition data” presentado en 4th International Conference on Condition Assessment Techniques in Electrical Systems, CATCON, 2019, pp. 3–6, doi: 10.1109/CATCON47128.2019.CN0073.
H. De Faria, J. Costa, y J. Olivas, “A review of monitoring methods for predictive maintenance of electric power transformers based on dissolved gas analysis” Renewable and Sustainable Energy Reviews, vol. 46, pp. 201–209, 2015, doi: 10.1016/j.rser.2015.02.052.
W. Wattakapaiboon y N. Pattanadech, “The new developed Health Index for transformer condition assessment” presentado en CMD 2016 - International Conference on Condition Monitoring and Diagnosis, pp. 32–35, 2016, doi: 10.1109/CMD.2016.7757760.
R. Murugan y R. Ramasamy, “Understanding the power transformer component failures for health index-based maintenance planning in electric utilities” Engineering Failure Analysis, vol. 96, pp. 274–288, 2019, doi: 10.1016/j.engfailanal.2018.10.011.
J. Foros y M. Istad, “Health index, risk and remaining lifetime estimation of power transformers” IEEE Transactions on Power Delivery, vol. 35, no. 6, pp. 2612–2620, 2020, doi: 10.1109/TPWRD.2020.2972976.
R. Soni y B. Mehta, “Review on asset management of power transformer by diagnosing incipient faults and faults identification using various testing methodologies” Engineering Failure Analysis, vol. 128, no. February, p. 105634, 2021, doi: 10.1016/j.engfailanal.2021.105634.
S. Tenbohlen et al., "Transformer reliability survey", CIGRE, Technical Brochure, vol. 642, pp. 94-102, 2015.
A. Azmi, J. Jasni, N. Azis, y M. Kadir, “Evolution of transformer health index in the form of mathematical equation” Renewable and Sustainable Energy Reviews, vol. 76, no. March, pp. 687–700, 2017, doi: 10.1016/j.rser.2017.03.094.
M. Islam, G. Lee, S. Hettiwatte, y K. Williams, “Calculating a health index for power transformers using a subsystem-based GRNN approach” IEEE Transactions on Power Delivery, vol. 33, no. 4, pp. 1903–1912, 2018, doi: 10.1109/TPWRD.2017.2770166.
O. N. Mata, F. A. Rojas, C. G. Solís, y G. G. Ramírez, “Assessment of Power Transformers using a Methodology Based on Health Indices” presentado en 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA), 2021, pp. 2–7, doi: 10.1109/ICAACCA51523.2021.9465245.
R. Prasojo, A. Setiawan, Suwarno, N. Maulidevi, y B. Anggoro, “Development of analytic hierarchy process technique in determining weighting factor for power transformer health index” presentado en 2nd International Conference on High Voltage Engineering and Power Systems: Towards Sustainable and Reliable Power Delivery, ICHVEPS, 2019, pp. 1–5, doi: 10.1109/ICHVEPS47643.2019.9011040.
A. De la Fuente et al., “Strategic view of an assets health index for making long-term decisions in different industries” presentado en Safety and Reliability - Safe Societies in a Changing World - 28th International European Safety and Reliability Conference, ESREL, 2018, pp. 1151–1156, doi: 10.1201/9781351174664-146.
W. Jian, Z. Wenbing, G. Chao, B. Demeng, y W. Kuihua, “The new developed health index for power transformer condition assessment” presentado en 5th Asia Conference on Power and Electrical Engineering, ACPEE, 2020, pp. 1880–1884, doi: 10.1109/ACPEE48638.2020.9136344.
S. Li, G. Hu, B. Gao, Y. Yang, y G. Wu, “A probabilistic framework for transformer health condition assessment” presentado en IEEE International Conference on Properties and Applications of Dielectric Materials, 2018, vol. May, pp. 212–217, doi: 10.1109/ICPADM.2018.8401221.
M. Islam, G. Lee, y S. Hettiwatte, “A review of condition monitoring techniques and diagnostic tests for lifetime estimation of power transformers” Electrical Engineering, vol. 100, no. 2, pp. 581–605, 2018, doi: 10.1007/s00202-017-0532-4.
K. Ibrahim, R. Sharkawy, H. Temraz, y M. Salama, “Selection criteria for oil transformer measurements to calculate the Health Index” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 23, no. 6, pp. 3397–3404, 2016, doi: 10.1109/TDEI.2016.006058.
M. Ahmed, M. Elkhatib, M. Salama, y K. Bashir, “Transformer Health Index estimation using orthogonal wavelet network”, presentado en Electrical Power and Energy Conference (EPEC), 2015.
H. Zeinoddini-Meymand y B. Vahidi, “Health index calculation for power transformers using technical and economical parameters” IET Science, Measurement and Technology, vol. 10, no. 7, pp. 823–830, 2016, doi: 10.1049/iet-smt.2016.0184.
K. Mohamadeen, R. Sharkawy, y M. Salama, “Binary cat swarm optimization versus binary particle swarm optimization for transformer health index determination” presentado en ICET 2nd International Conference on Engineering and Technology, 2015, pp. 0–4, doi: 10.1109/ICEngTechnol.2014.7016812.
A. D. Ashkezari, H. Ma, T. Saha, y C. Ekanayake, “Application of fuzzy support vector machine for determining the health index of the insulation system of in-service power transformers” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 20, no. 3, pp. 965–973, 2013, doi: 10.1109/TDEI.2013.6518966.
K. Chitnavis y N. Bhasme, “Review of critical analysis for life estimation of power transformer” presentado en 4th International Conference on Power, Control and Embedded Systems, ICPCES, 2017, pp. 1–6, doi: 10.1109/ICPCES.2017.8117632.
A. Naderian, S. Cress, R. Piercy, F. Wang, y J. Service, “An approach to determine the health index of power transformers” presentado en IEEE International Symposium on Electrical Insulation, 2008, pp. 192–196, doi: 10.1109/ELINSL.2008.4570308.
J. Haema y R. Phadungthin, “Condition assessment of the health index for power transformer” presentado en Power Engineering and Automation Conference, PEAM 2012, pp. 2–5, 2012, doi: 10.1109/PEAM.2012.6612413.
R. Heywood y T. McGrail, “Clarifying the link between data, diagnosis and Asset Health Indices” presentado en IET Conference Publications, 2015, vol. 2015, no. CP669, pp. 1–6, doi: 10.1049/cp.2015.1748.
A. Jahromi, R. Piercy, S. Cress, y W. Fan, “An approach to power transformer asset management using health index” IEEE Electrical Insulation Magazine, vol. 25, no. 2, pp. 20–34, 2009, doi: 10.1109/MEI.2009.4802595.
M. Angkapiyasiri, P. Fuangpian, T. Suwanasri, y C. Suwanasri, “Condition evaluation of power transformer by analysis of insulating oil tests” presentado en ECTI-CON 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2019, pp. 341–344, doi: 10.1109/ECTICon.2018.8620011.
M. Al Hamdani, R. Azis Prasojo, Suwarno, y A. Abu-Siada, “Power transformer degradation condition and insulation index estimation based on historical oil data” presentado en 2nd International Conference on High Voltage Engineering and Power Systems: Towards Sustainable and Reliable Power Delivery, ICHVEPS, 2019, pp. 1–5, doi: 10.1109/ICHVEPS47643.2019.9011135.
M. Horning, J. Kelly, S. Myers, y R. Stebbins, Guía para el mantenimiento del transformador, 3ra ed. Nueva York: Transformer Maintenance Institute (TMI), 2005.
I. Margalló Gasco, “Diagnóstico del consumo de vida de un transformador a través del análisis de compuestos furánicos” tesis de Bch. Sc., Dept Ingeniería Eléctrica, Universidad Carlos III de Madrid, Madrid, España, 2012.
Comments
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright (c) 2022 Oscar Nuñez Mata, Gustavo Gómez-Ramírez, Fauricio Acuña Rojas, César González Solís