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access icon free Online detection technology for SF6 decomposition products in electrical equipment: a review

© The Institution of Engineering and Technology
Received 20/12/2017, Accepted 11/04/2018, Revised 11/03/2018, Published 23/04/2018

The decomposition component analysis method can be used to monitor and diagnose the insulation state of SF6 electrical equipment in power industry. Here, the authors firstly compared the advantages and disadvantages of various SF6 decomposition products detection methods and analysed their feasibility of online monitoring. Then the requirements of SF6 decomposition products online detecting technology according to the actual engineering needs were discussed. The SF6 decomposition products online detection system has been mainly introduced from the aspects of principle, structure, detection effect, and practicability. The research points and development tendency of SF6 decomposition products online detection system is forecasted.

Inspec keywords: power apparatus; power system measurement; decomposition; electricity supply industry; SF6 insulation

Other keywords: insulation; decomposition component analysis method; SF6 decomposition product detection methods; SF6 decomposition product online detecting technology; SF6 electrical equipment; power industry

Subjects: Power system measurement and metering; Power system management, operation and economics; Gaseous insulation, breakdown and discharges; Inorganic insulation

References

    1. 1)
      • 1. Fu, Y., Rong, M., Yang, K., et al: ‘Calculated rate constants of the chemical reactions involving the main byproducts SO2F, SOF2, SO2F2 of SF6 decomposition in power equipment’, Am. J. Phys. D: Appl. Phys., 2016, 49, (15), p. 155502.
    2. 2)
      • 11. Zhou, W., Qiao, S., Zheng, Y., et al: ‘Insulation condition monitoring of epoxy resins solid dielectric in GIS using characteristic gases COS and CS2’, High Volt. Eng., 2017, 43, (8), pp. 2551–2557.
    3. 3)
      • 19. Huang, C.J., Guo-Qiang, Y.E., Li, L.I., et al: ‘Sulfur hexafluoride on-line automatic sampling monitoring system development’, Mech. Electr. Eng. Technol., 2014, 4, pp. 45–48.
    4. 4)
      • 2. Tang, J., Liu, F., Meng, Q., et al: ‘Partial discharge recognition through an analysis of SF6 decomposition products part 2: feature extraction and decision tree-based pattern recognition’, IEEE Trans. Dielectr. Electr. Insul., 2012, 19, (1), pp. 37–44.
    5. 5)
      • 3. Li, T., Wang, X., Zheng, C., et al: ‘Investigation on the placement effect of UHF sensor and propagation characteristics of PD-induced electromagnetic wave in GIS based on FDTD method’, IEEE Trans. Dielectr. Electr. Insul., 2014, 21, (3), pp. 1015–1025.
    6. 6)
      • 12. Zhang, L., Chen, Y., Liang, G.: ‘On the field detection of GIS and SF6 circuit breaker’, High Volt. Appar., 2001, 37, (3), pp. 47–48.
    7. 7)
      • 5. Tang, J., Liu, F., Zhang, X., et al: ‘Partial discharge recognition through an analysis of SF6 decomposition products part 1: decomposition characteristics of SF6 under four different partial discharges’, IEEE Trans. Dielectr. Electr. Insul., 2012, 19, (1), pp. 29–36.
    8. 8)
      • 10. Zhou, W., Qiao, S., Li, L., et al: ‘Creeping discharge monitoring of epoxy spacers in GIS using a new target gas CS2’, High Volt. Eng., 2015, 41, (3), pp. 848–856.
    9. 9)
      • 13. Zhang, X., Jing, T., Chen, Q., et al: ‘Pt-doped TiO2-based sensors for detecting SF6 decomposition components’, IEEE Trans. Dielectr. Electr. Insul., 2015, 22, (3), pp. 1559–1566.
    10. 10)
      • 4. Xie, Y., Tang, J., Zhou, Q.: ‘Suppressing white-noise in partial discharge measurements – part 1: construction of complex Daubechies wavelet and complex threshold’, Int. Trans. Electr. Energy Syst., 2013, 20, (6), pp. 800–810.
    11. 11)
      • 6. Beyer, C., Jenet, H., Klockow, D.: ‘Influence of reactive SFx gases on electrode surfaces after electrical discharges under SF6 atmosphere’, IEEE Trans. Dielectr. Electr. Insul., 2000, 7, (2), pp. 234–240.
    12. 12)
      • 17. Zhang, X.X., Ren, J.B., Li, Y., et al: ‘SF6 decomposition components IR measurement and quantify’, High Volt. Eng., 2010, 36, (3), pp. 584–589.
    13. 13)
      • 18. Qian, J., Shi, H., Liu, X., et al: ‘Application of online monitoring technology for decomposition SO2 of SF6 electrical equipments’, Water Resour Power, 2013, 8, pp. 192–195.
    14. 14)
      • 9. Tang, J., Zeng, F., Zhang, X., et al: ‘Relationship between decomposition gas ratios and partial discharge energy in GIS, and the influence of residual water and oxygen’, IEEE Trans. Dielectr. Electr. Insul., 2014, 21, (3), pp. 1226–1234.
    15. 15)
      • 20. Zhang, Y., Zhang, X.X., Li, J.W.: ‘On-line monitoring technology of SF6 gas decomposition components based on photoacoustic spectroscopy’, High Volt. Eng., 2016, 42, (9), pp. 2995–3002.
    16. 16)
      • 14. Jin, J.: ‘IEC60480–2007 guidelines for the checking and treatment of sulfur hexafluoride SF6 taken from electrical equipment and specification for its reuse’, Electr. World, 2009, 50, (12), pp. 621–622.
    17. 17)
      • 21. Zhuang, X.S., Wu, L.: ‘A novel gas chromatography with a pulsed discharge helium ionization detector for measurements of sulfur hexafluoride gas sampled from electrical equipment’. IEEE Asia-Pacific Power and Energy Engineering Conf. (APPEEC), Shanghai, China, 2012, pp. 1–3.
    18. 18)
      • 7. Pradayrol, C., Casanovas, A.M., Aventin, C., et al: ‘Production of SO2F2,SOF4, (SOF2 + SF4), S2F10, S2OF10 and S2O2F10 in SF6 and, (50–50)-mixtures exposed to negative coronas’, J. Phys. D: Appl. Phys., 1997, 30, (9), p. 1356.
    19. 19)
      • 15. Wang, D., Gai, L., Wu, H.: ‘Comparison of methods for analyzing trace SF4 by FTIR, GC and GC/MS’, Anal. Instrum., 2010, 33, (3), pp. 38–41.
    20. 20)
      • 16. Cai, W., Tang, J., Cheng, L., et al: ‘Detection of SF6 decomposition components under partial discharge by photoacoustic spectrometry and its temperature characteristic’, IEEE Trans. Instrum. Meas., 2016, 65, (6), pp. 1343–1351.
    21. 21)
      • 8. Zeng, F., Tang, J., Zhang, X., et al: ‘Study on the influence mechanism of trace H2O on SF6 thermal decomposition characteristic components’, IEEE Trans. Dielectr. Electr. Insul., 2015, 22, (2), pp. 766–774.
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