Intelligent correlation and analysis of substation nonoperational data

The analysis of non-operational data can result in significant financial benefits to utilities, including shortened system restoration times, reduced maintenance costs, and increased operating capacities. The application of intelligent methods can overcome the barriers associated with the correlation and analysis of substation non-operational data. This paper presents an analysis engine that encourages the rapid development of analysis modules using intelligent objects to store expert reasoning.