IMPEDANCE-DRIVEN MODEL-BASED DIAGNOSIS OF ELECTRIC POWER DISTRIBUTION SYSTEM FAULTS

Authors:

• Goran L. Pettersson, Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816
• Avelino J. Gonzalez, Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816
• Robert A. Morris, Computer Science Department, Florida Institute of Technology, Melbourne, FL

Abstract:

This paper addresses the problem of diagnosing faults in electric power distribution systems in real-time, through the use of model-based reasoning. In particular, it presents a complex model of an electric power distribution system (EPDS) which permits the correct detection of certain EPDS faults which are incorrectly diagnosed when simpler models are used.

Model-based diagnostic techniques have been proven to work well in hierarchical systems such as electric power distribution systems [Gonzalez, 1996]. The design of the model to be used by the model-based engine can greatly influence the effectiveness and accuracy of the diagnostic system. Modeling an electric power distribution system (EPDS) can be quite complex, as several sensed parameters, such as voltage and current, are interdependent. If the model used does not accurately reflect this complexity, the model-based engine can be easily misled into believing in the existence of several false discrepancies. Such a situation can cause incorrect diagnoses to be generated by the system.

Keywords:

Model-based Reasoning, Automated Diagnostics, power systems modeling, device-centered diagnosis