Self-Organized Criticality and Trend Analysis in Time Series of Blackouts for the China Power Grid

Table 1

Power-law model parameters of load loss about blackout size in the China power grid.

n^1	^2	α^3	^4
277	737	2.86	52	0.15

¹n is the number of samples. ²x_min is the lower bound of the power-law behavior. ³α is the estimated value of the power exponent. ⁴n_tail is the standard deviation of the uncertainty of the fitting parameter. ⁵p is the rationality of the quantified power-law hypothesis; when , indicating that the power-law hypothesis is reasonable, there is a reason to believe that the data satisfy the power-law distribution. When , the power-law hypothesis is rejected, and the data do not satisfy the power-law distribution.