Modeling and simulation of substation fault diagnosis based on Petri nets
In order to improve the efficiency of the substation fault diagnosis with multiple protections, the proposed method describes protection grades by varied weight of the transition vector in the Petri net models. According to relays and circuit breakers, special markings are produced in the diagnosis results that enhance the identifying capability of error information. The process of fault diagnosis is accomplished by algebra matrix calculation. A simulation on actual substation fault diagnosis process indicates that the improved method has fast calculation speed and high veracity
Power systems fault diagnosis using Petri nets
A new method of detecting fault locations in power networks is proposed. The diagnostic process uses Petri net models. This can reduce processing time and increase accuracy when compared with the traditional pattern recognition and hypotheses testing methods. The method is more able than previous methods to adapt to changing network configurations. The methodology was tested using the IEEE 118-bus standard test system. Fast and accurate results were obtained. The method is very suitable for online applications.
An Expert System Prototype for Event Diagnosis and Real-Time Operation Planning in Power System Control
A prototype system called EKA, which is an attempt to apply sophisticated knowledge-engineering methods to power systems, is described. EKA is based on an object-oriented model and model-based reasoning, including multiple ways to represent knowledge: rules, facts, methods, daemons, procedures, logic programs, etc. The EKA system consists of three separate but structurally similar systems: an operation planning system, an event analysis system, and a training simulator. As a development environment, hybrid software and a Lisp computer have been used. The tasks and methods involved are described with and without an expert system. The application environment and prototype implementation are outlined. >