Title :
A digital protection system incorporating knowledge based learning [for space power systems]
Author :
Watson, Karan ; Russell, B. Don ; McCall, Kurt
Author_Institution :
Texas A&M Univ., College Station, TX, USA
Abstract :
A digital system architecture used to diagnose the operating state and health of space power electric distribution lines and to generate actions for line protection is presented. The architecture is described functionally and to a limited extent at the hardware level. This architecture incorporates multiple analysis and fault detection techniques utilizing a variety of parameters. In addition, a knowledge-based decision maker, a long-term memory retention and recall scheme, and a learning environment are described. Preliminary laboratory implementations of this system elements have been completed. Enhanced protection for electric distribution feeders is provided by this system. Advantages of the system are enumerated
Keywords :
aerospace computing; distribution networks; expert systems; fault location; learning systems; power system computer control; power system protection; space vehicle power plants; aerospace computing; architecture; digital protection system; distribution lines; expert systems; fault detection; feeders; knowledge based learning; power system computer control; space power; Digital systems; Electrical fault detection; Fault currents; Fault detection; Hardware; Laboratories; Personnel; Power system faults; Power system protection; Substation protection;
Conference_Titel :
Energy Conversion Engineering Conference, 1989. IECEC-89., Proceedings of the 24th Intersociety
Conference_Location :
Washington, DC
DOI :
10.1109/IECEC.1989.74469
