Fuzzy Logic Approach to Predictive Risk Analysis in Distribution Outage Management

Weather impacts are one of the main causes of distribution outages. To devise strategies to mitigate weather impacts, a fuzzy logic system for decision making is introduced. It allows utility operators to achieve more precise outage predictions and optimize real time operation and maintenance scheduling. A novel approach for weather-driven risk framework is applied to process the data and produce risk maps for better decision making. The use of weather data in reducing fault location time, an important performance improvement in outage management, is also presented.