• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2015, Vol. 36 ›› Issue (6): 46-52.doi: 10.3969/j.issn.1000-7229.2015.06.008

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Spatial-Temporal Characteristics of 500 kV Transmission Line Fault

LUO Jie1,2,JIANG Tiezheng1,LIANG Yongchao2,MA Rui1   

  1. 1. College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410076, China; 2. Hunan Electric Examine and Repair Company, Changsha 410002, China)
  • Online:2015-06-01
  • Supported by:

    Project Supported by National Natural Science Foundation of China (51277015).


With the development of power system communication automation, various kinds of information collection systems have been widely used, which is beneficial to analyze the spatial-temporal characteristics of power grid faults. Taking 500 kV transmission network in H province as example, this paper researched the long-time behavior characteristics of 500 kV transmission line faults in recent 5 years. Firstly, on the time series level of transmission line fault, statistical analysis was carried out on the interrelation between fault timing (unit: day) and fault cumulative frequency and probability under same time point. Kolmogorov-Smirnov (K-S) method was adopted to testify the normality of the distribution, and Hurst exponent based on time series of 500 kV transmission network in H province during 5 years was calculated according to R/S time series analysis. Thereby the long-term correlation under time series was estimated. Then, on the level of space, statistical analysis was carried out on the interrelation between fault times of each 500 kV transmission line in H province during 5 years and its fault cumulative frequency and probability, and it was proved that transmission line faults coincided with power-law distribution characteristic. The research on the spatial-temporal distribution characteristics can provide the basis of assistant decision for the risk management and prediction of power system.

Key words:  transmission line fault, spatial-temporal distribution, power-law distribution, Hurst exponent, R/S analysis method

CLC Number: