Predicting weather-associated impacts in outage management utilizing the GIS framework

Weather-related impacts are at the top of all outage causes. Yet, traditional outage management (OM) approaches do not integrate all available and relevant weather-associated data automatically. This paper presents a predictive method that correlates different weather-associated data layers to provide predictive OM process implemented using the geographic information systems (GIS) framework. Examples for both transmission and distribution OM are demonstrated using vegetation, wind, and power system data in ArcGIS.