The Study of Overhead Line Fault Probability Model Based on Fuzzy Theory ()
Jing Li,
Lijie Chen,
Donghong Zhao,
Yadi Luo
China Electric Power Research Institute, Beijing, China.
China Wuzhou Engineering Group Co., Ltd., Beijing, China.
DOI: 10.4236/epe.2013.54B121
PDF HTML
4,414
Downloads
5,592
Views
Citations
Abstract
In the background of the design and construction of
Smart Grid Operation Supporting System for District Power Networks, this
paper established the weighted fault probability model of the overhead line
which is based on equipment operating status, utility theory and fuzzy theory.
In this model, the proper membership function is adopted to describe the
influence of lightning, wind speed, line ice and temperature, and the outage
rate of overhead line, derived from historical statistics, is amended. Based on
this model, the power supply risk analysis software is developed to calculate
the online risk indicators of district grid, and provide real-time decision
support information based on risk theory for scheduling operations personnel.
Share and Cite:
J. Li, L. Chen, D. Zhao and Y. Luo, "The Study of Overhead Line Fault Probability Model Based on Fuzzy Theory,"
Energy and Power Engineering, Vol. 5 No. 4B, 2013, pp. 625-629. doi:
10.4236/epe.2013.54B121.
Conflicts of Interest
The authors declare no conflicts of interest.
References
|
[1]
|
CIGRE Task Force 38.03.12. “Power System Security Assessment,” Electra, Vol. 175, 1997, pp. 49-77．
|
|
[2]
|
H. Wan, J. D. Mccalley and V. Vittal, “Increasing Thermal Rating by Risk Analysis,” IEEE Tran-saci on Power Systems, Vol. 14, No. 3, 1999, pp. 815-828.
doi:10.1109/59.780891
|
|
[3]
|
W.-H. Fu, J. D. McCalley and V. Vittal, “Risk Assessment for Transformer Loading,” IEEE Transacti on Power Systems, Vol. 16, No. 3, 2001, pp. 346-353. doi:10.1109/59.932267
|
|
[4]
|
Y. Q. Feng，W. C. Wu, H. B. Sun, et a1., “A Preliminary Investigation on Power System Operation Risk Evaluation in the Modern Energy Control Center,” Proceedings of the CSEE, Vol. 25, No. 13, 2005, pp. 73-79.
|
|
[5]
|
N. Ming, J. D. McCalley, V. Vittal, et a1., “Online risk-based security assessment,” IEEE Transacti on Power Systems, Vol. 18, No. 1, 2003, pp. 258-265. doi:10.1109/TPWRS.2002.807091
|