Condition Assessment of MRTB Based on Fuzzy Theory

Article Preview

Abstract:

As one of the core equipment of high-voltage direct-current (HVDC) transmission system, the health status of MRTB would directly threaten the secure and stable operation of power system. Aiming at correctly getting the real-time operating status of MRTB , a new condition assessment method base on fuzzy theory is proposed and the corresponding device has been developed in this paper. After sampling the oscillating current, this method calculates arcing time by wavelet theory ,then fuzzy theory is used to judge the operating status of MRTB.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

599-602

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Adapa, R., High-Wire Act: HVdc Technology: The State of the Art. Power and Energy Magazine, IEEE, 2012. 10(6): pp.18-29.

DOI: 10.1109/mpe.2012.2213011

Google Scholar

[2] Sian Green. HVDC Systems Gotland: the HVDC Pioneer[J]. Power Engineering International, 2004, 12(7): 28- 29.

Google Scholar

[3] Christian M. F. HVDC Circuit Breakers: A Review Identifying Future Research Needs[J]. IEEE Trans. on Power Delivery, 2011, 26(2), 998-1007.

DOI: 10.1109/tpwrd.2010.2095889

Google Scholar

[4] Jouya Jadidian. A Compact Design for High Voltage Direct Current Circuit Breaker. IEEE Transaction on Plasma Science, 2009, 37(6), 1084-1091.

DOI: 10.1109/tps.2009.2019979

Google Scholar

[5] Jun Wang, Tao Ning, Zhihua Li, Wei chen, Realization of Monitoring systems of DC Breaker Based on GPRS Technology, The 3rd International Conference on Comoutational Intelligence and Industrial Application, December (2010).

Google Scholar

[6] H. Nakao, Y. Nakagoshi, M. Hatano, et al. D.C. urrent Interruption in HVDC SF6 Gas MRTB by Means of Self-Excited Oscillation Superimposition[J]. IEEE Trans. On Power Delivery, 2001, 16(4): 687-693.

DOI: 10.1109/61.956757

Google Scholar

[7] Zhong, W., et al. State Assessment System of Power Transformer Equipments Based on Data Mining and Fuzzy Theory. in Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on. 2010. Changsha.

DOI: 10.1109/icicta.2010.308

Google Scholar

[8] Schavemaker P H. Arc model blockset[DB]. Power Systems Laboratory, Delft University of Technology, the Nether lands(eps. et. tudelft. nl), (2001).

Google Scholar