DocumentCode :
1255194
Title :
Conventional and knowledge based approaches in fault diagnosis and supply restoration for power network
Author :
Teo, C.Y.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Volume :
13
Issue :
1
fYear :
1998
fDate :
2/1/1998 12:00:00 AM
Firstpage :
8
Lastpage :
14
Abstract :
A versatile distribution system simulator integrating load flow, fault current calculation and modeling of overcurrent relays and breaker operation is described. Appropriate sets of scenarios are generated for different levels of exercise and all actions taken by the students are logged, evaluated and awarded a grade. The simulator is then configured to link to a knowledge based system and the students can attempt to diagnose faults and restore supply using a knowledge base approach. Through a series of hands-on exercises, the students strengthen their understanding of generic diagnostic rules, restoration algorithms, knowledge acquisition and inference mechanism
Keywords :
computer aided instruction; digital simulation; distribution networks; fault currents; inference mechanisms; knowledge acquisition; knowledge based systems; load flow; overcurrent protection; power engineering education; power system analysis computing; power system protection; power system restoration; relay protection; breaker operation; distribution system simulator; fault current calculation; fault diagnosis; faults diagnosis; generic diagnostic rules; hands-on exercises; inference mechanism; knowledge acquisition; knowledge based approach; load flow; overcurrent relays modeling; power network; restoration algorithms; supply restoration; Circuit faults; Fault currents; Fault diagnosis; Knowledge based systems; Load flow; Power supplies; Power system modeling; Power system relaying; Power system restoration; Power system simulation;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.651606
Filename :
651606
Link To Document :
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