Abstract:
One important problem for power systems is a loss of supply of blackout size.
Blackouts can occur for a variety of reasons, most of which cannot be controlled and
lead to damage in related systems. The main objective of this paper is to find a
mathematical model for blackout data. The study considered six models: power-law
distribution, truncated power-law distribution, exponential distribution, Weibull distribution,
lognormal distribution and gamma distribution. For each distribution the maximum
likelihood method was used to estimate the parameters. The mean square errors
between the data and the models were calculated for the six distributions and the mean
square errors for the six distributions were compared.
The mean square errors from the six distributions showed that using a lognormal
model gave the best fit for the loss of supply data from both New Zealand and EGAT.
These results could be used to predict blackouts that may occur in the future and could
be applied to describe other data which has similar behaviour.