USING COMPLEX EVENT PROCESSING TO MANAGE PATTERNS IN DISTRIBUTION NETWORKS
Foued Barouni, Bernard Moulin · 2014
Several efforts have been made in recent years to provide a new generation of data acquisition systems with reliable and efficient communication capabilities. These systems provide real-time data in various formats at multiple application levels. In the power distribution domain, end-users need to handle large amounts of data generated by these acquisition systems. They also need a set of software tools that allow for leveraging existing data and detecting interesting situations. Available commercial solutions are mostly based on relational databases and use SQL queries to offer such functionalities. However, these systems suffer from performance limitations and do not allow real time detection of interesting situations (also called patterns). In this paper, we present a novel approach based on Complex Event Processing for the real-time detection of complex situations involving events. The contribution of the paper is the proposal of an architecture that integrates a pattern detection engine in the distribution grid in order to improve user decision making capabilities.