Weather Normalization of Reliability Indices

Abstract

Weather significantly influences distribution reliability indices, especially duration benchmarks like SAIDI. We explore correlations with various weather parameters including lightning-detection network data, and wind from weather stations. This paper explores a number of ways to account for the variability caused by weather. Approaches include regression models to normalize with weather data as inputs, using outage database indicators of weather, and modifications to the 2.5 beta method of IEEE Std. 1366.