This paper describes how the expert system is integrated into a large supervisory control and data acquisition system for power distribution networks. The necessary techniques to cover online processing of real-time data, intelligent alarm processing, and network reconfiguration/restoration are discussed.
The expert system is based on a hierarchic, multi-level problem-solving architecture, integrating model-based, heuristic, and algorithmic techniques acting upon an object-oriented data structure. Techniques like automatic creating and update of the knowledge base, event filtering, online event processing, structural and temporal focusing have been implemented to enable the system to perform its task onlineand real-time.
Keywords: Power distribution network, alarm filtering, model-based diagnosis
A preliminary verion of the full paper is available as a postscript file .