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.
Important Links:
Go Back
