Object oriented expert systems for real-time power system alarm processing

Abstract

This paper presents the second part of a project on the use of an artificial intelligence system to process alarms and to perform fault diagnostics. The paper describes the implementation of an object oriented expert system using the KappaPC toolkit which was chosen in Part I (Electr. Power Syst. Res., 30 (1994) 69–75) for initial development of a prototype real-time alarm processing and fault diagnosis system. The structure of the object oriented expert system captures the heuristic knowledge used for power system operation. The knowledge base is automatically updated by the existing SCADA system as the power system status changes. The paper also describes the features of the real-time object oriented expert system which include the need for fast deep-level reasoning, easy maintainability of the object oriented programming and the end-user's interface.