Integrating AI applications in an energy management system

Abstract

To effectively integrate expert system applications in an energy management system, the authors created an environment that supports all the interfaces between the AI applications and the EMS. This environment also maintains a model of the power system common to all the AI applications. With this environment in place, users can easily plug AI applications into the EMS. The authors have designed and implemented such an environment, which supports three distinct AI applications: intelligent alarm processing, fault diagnosis, and power system restoration. To illustrate the benefits of this approach, they present case studies based on implementations of this environment in three different EMS architectures.