Analysis of Rain, Wind and Temperature Effects on Power Distribution Outages

A. Domijan, R.K. Matavalam, A. Montenegro, W.S. Willcox, J.R. Diaz, L. Davis, and J. D'Ago


Power interruptions, weather conditions, regression analysis, power reliability.


For any power company, providing reliable electric service is the number-one priority. But unfortunately, sometimes, power outages are simply unavoidable. Most power outages are caused by weather-related events. Among all the weather parameters, Wind, Temperature and Rain were found to be the most significant parameters towards the total number of interruptions in a power distribution system and hence the paper is focused mainly on these parameters only. This paper shows that there is a significant correlation between each of the weather parameters (rain, wind, and temperature) and the power interruptions by developing a multi variable regression model. It was also observed that the impact of these weather parameters on the total number of interruptions was not the same but varying. A model was also developed between the transformer failures and the maximum-temperature of the days by using regression analysis, in this paper. By using this model, it is possible that for a given Maximum temperature of any day, the total number of transformer failures can be predicted before hand.

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