Abstract
Power-grid faults pose a great threat to the economy and to social stability. In this paper, the detrended fluctuation analysis method is used to investigate the scaling properties of power grid faults and the correlation between faults and meteorological factors that are closely related to power grid faults. Multifractal detrended fluctuation analysis showed that the fault time series were multifractal. Further investigations revealed the origins of multifractality in power-grid fault time series, and the results showed that the temporal correlations in the data represent the distribution of the returns, which are a significant source of multifractal scaling. Then, cross correlations between the fault and the four meteorological factors were investigated using the detrended cross-correlation analysis method. The results showed that maximum wind speed has a considerable impact on the number of transmission system line faults per day, whereas daily precipitation, daily mean air temperature, and maximum wind speed have a considerable impact on the number of distribution system line faults per day.
Highlights
Electric power transmission systems are a key element of national infrastructure, and blackouts of these systems have major direct and indirect consequences for the economy and national security
Zhou et al.: Fractal Analysis of Power Grid Faults and Cross Correlation for the Faults and Meteorological Factors form over much of their range and that the simulation of evolving network with cascading transmission line outages model shows that apparently sensible efforts to reduce the risk of smaller blackouts can sometimes increase the risk of large blackouts [13]
The width of multifractal spectrum is 1.186. These results demonstrated that the fault time series in the
Summary
Electric power transmission systems are a key element of national infrastructure, and blackouts of these systems have major direct and indirect consequences for the economy and national security. Due to the special terrain and climatic conditions of Hunan Province, the percentage of faults caused by meteorological disasters in the Hunan power grid is greater than 90%. These faults can be attributed to specific extreme weather causes such as lightning strikes, ice storms, wildfires, or conductor galloping [8], [9]. T. Zhou et al.: Fractal Analysis of Power Grid Faults and Cross Correlation for the Faults and Meteorological Factors form over much of their range and that the simulation of evolving network with cascading transmission line outages model shows that apparently sensible efforts to reduce the risk of smaller blackouts can sometimes increase the risk of large blackouts [13]. The periodic uncertainty changes in cross-correlation exponents are examined in Section IV, and Section V concludes the paper
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