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access icon free Multi-criteria decision-making methods for grading high-performance transformer oil with antioxidants under accelerated ageing conditions

In this study, different types of antioxidants (AO) such as natural and synthetic AOs are mixed with mineral oil (MO) at various individual and grouping concentrations to enhance the life of transformers. Water content in oil, water content in paper, breakdown voltage, acidity, 2-furaldehyde concentration, degree of polymerisation and tensile strength are the laboratory-based ageing-related performance characteristics considered in the proposed work to evaluate the degradation rate of MO samples. Multi-criteria decision-making methods such as analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) are used to identify the sample concentration which gives maximum performance while considering all the characteristic performance of the MO samples precisely. Two different methods are employed to assess the performance characteristics of the MO samples. In first method, AHP is employed for both priority weight calculation and ranking of MO samples. In second method, AHP is used for weight calculation and TOPSIS is used for ranking. From the experimental results, it is found that, the MO sample S5 yields better performance when compared with other samples. Hence, it is suggested that MO sample S5 can be the best alternative for transformer oil.

References

    1. 1)
      • 8. Tanaka, H., Tsuakao, S., Yamashita, D., et al: ‘Multiple criteria assessment of substation conditions by pair-wise comparison of analytic hierarchy process’, IEEE Trans. Power Deliv., 2010, 25, (4), pp. 30173023.
    2. 2)
      • 21. Saaty, T.L.: ‘The analytic hierarchy process’ (McGraw-Hill Publishers, New York, 1980).
    3. 3)
      • 13. Cheim, L., Platts, D., Prevost, T., et al: ‘Furan analysis for liquid power transformers’, IEEE Electr. Insul. Mag., 2012, 28, (2).
    4. 4)
      • 9. Banwet, D.K., Majumdar, A.: ‘Comparative analysis of AHP-TOPSIS and GA-TOPSIS methods for selection of raw materials in textile industries’. Proc. Int. Conf. Industrial Engineering and Operations Management, 7-9 January 2014.
    5. 5)
      • 24. Panda, B.N., Biswal, B.B., Deepak, B.B.L.V.: ‘Integrated AHP and fuzzy TOPSIS approach for the selection of a rapid prototyping process under multi-criteria perspective’. 5th Int. and 26th All India Manufacturing Technology, Design and Research Conf., 12-14 December 2014.
    6. 6)
      • 6. Behzadian, M., Otaghsara, S.K., Yazdani, M., et al: ‘A state-of-the-art survey of TOPSIS applications’, Expert Syst. Appl., 2012, 39, pp. 1305113069.
    7. 7)
      • 15. Madavan, R., Balaraman, S.: ‘Performance analysis of transformer liquid insulation system under various environmental conditions’. Int. Conf. Condition Assessment Techniques in Electrical Systems (CATCON), 2015.
    8. 8)
      • 17. Oommen, T.V., Prevost, T.A.: ‘Cellulose insulation in oil-filled power transformers: part II maintaining insulation integrity and life’, IEEE Electr. Insul. Mag., 2006, 22, pp. 514.
    9. 9)
      • 4. Raymon, A., Samuel Pakianathan, P., Rajamani, M.P.E., et al: ‘Enhancing the critical characteristics of natural esters with antioxidants for power transformer applications’, IEEE Trans. Dielectr. Electr. Insul., 2013, 20, (3).
    10. 10)
      • 11. Standard test methods for water in insulating liquids, Karl Fischer reaction method (ASTM D1533). Annual book of ASTM standards, 10.03.1987.
    11. 11)
      • 7. Onder, E., Dag, S.: ‘Combining analytical hierarchy process and TOPSIS approaches for supplier selection in a cable company’, J. Bus. Econ. Finance, 2013, 2, pp. 5674.
    12. 12)
      • 2. Madavan, R., Balaraman, S.: ‘Failure analysis of transformer liquid–solid insulation system under selective environmental conditions using Weibull statistics method’, Eng. Fail. Anal., 2016, 65, pp. 2638.
    13. 13)
      • 19. De Pablo, A.: ‘Interpretation of furanic compounds analysis – degradation models’, CIGRE WG D1.01.03, former WG 15-01, 1997, Task Force 03.
    14. 14)
      • 10. Tee, S., Liu, Q., Wang, Z.: ‘Insulation condition ranking of transformers through principal component analysis and analytic hierarchy process’, IET Gener. Transm. Distrib., 2017, 11, (1), pp. 110117.
    15. 15)
      • 1. Okabe, S., Ueta, G., Tsuboi, T.: ‘Investigation about aging degradation status of insulating elements in oil-immersed transformer and its diagnostic method based on field measurement data’, IEEE Trans. Dielectr. Electr. Insul., 2013, 20, (1), pp. 346355.
    16. 16)
      • 3. Goto, K., Tsukioka, H., Mori, E.: ‘Measurement winding temperature of power transformers and diagnosis of aging deterioration by detection of CO2 and CO’. CIGRE Proc. Int. Conf. Large High Voltage Electric Systems, 1990, vol. 33, no. 1, pp. 17.
    17. 17)
      • 16. IEC 62021–1, insulating liquids, determination of acidity – part 1: automatic potentiometric titration, 2003.
    18. 18)
      • 12. Liao, R., Liang, S., Yang, L., et al: ‘Comparison of ageing results for transformer oil–paper insulation subjected to thermal ageing in mineral oil and ageing in retardant oil’, IEEE Trans. Dielectr. Electr. Insul., 2012, 19, (1).
    19. 19)
      • 5. GlommEse, M.-H., Liland, K.B., Lundgaard, L.E.: ‘Oxidation of paper insulation in transformers’, IEEE Trans. Dielectr. Electr. Insul., 2010, 17, (3).
    20. 20)
      • 14. IEC 60156 International standard, insulating liquids, determination of the breakdown voltage at power frequency – test method, second ed., 1995.
    21. 21)
      • 18. Birlasekaran, S., Ledwich, G.: ‘Possible indicators of aging in oil-filled transformers part 1: measurements’, IEEE Electr. Insul. Mag., 2010, 26, (1).
    22. 22)
      • 20. TAPPI 494-1988: ‘Methods to test for tensile strength of paper’ (Technical Association of the Pulp and Paper Industry).
    23. 23)
      • 22. Amiri, M.P.: ‘Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods’, Expert Syst. Appl., 2010, 37, pp. 62186224.
    24. 24)
      • 23. Vaidya, O.S., Kumar, S.: ‘Analytic hierarchy process: an overview of applications’, Eur. J. Oper. Res., 2006, 169, pp. 129.
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