DocumentCode :
1326534
Title :
Implementation of a real-time expert system for a restoration guide in a dispatching center
Author :
Hotta, K. ; Nomura, H. ; Takemoto, H. ; Suzuki, K. ; Nakamura, S. ; Fukui, S.
Author_Institution :
Kansai Electr. Power Co. Inc., Osaka, Japan
Volume :
5
Issue :
3
fYear :
1990
fDate :
8/1/1990 12:00:00 AM
Firstpage :
1032
Lastpage :
1038
Abstract :
The authors describe a real-time expert system for a restoration guide intended for use in a dispatching center to evaluate the performance of the knowledge base system. The system configuration is decentralized by workstations and one of them is attached to a SCADA computer in order to get online and offline information on the current state of the power system. A restoration guide of this system has two operation modes. One is the on-line guide mode, which gives the operator an appropriate restoration plan and restorative procedures by using the knowledge base of expertise and heuristics on power system restoration. The other is the offline simulation mode, which can be used by the knowledge engineer to verify the validity of the acquired knowledge. Implementation issues of this system such as system function, knowledge acquisition, knowledge representation, the interface of SCADA system, and the man-machine interface are discussed. Some execution results from the online guide mode are provided to demonstrate the capability and efficiency of this system
Keywords :
expert systems; load dispatching; power system computer control; real-time systems; SCADA computer; dispatching center; knowledge acquisition; knowledge base system; knowledge representation; man-machine interface; offline simulation; real-time expert system; restoration guide; Dispatching; Expert systems; Knowledge acquisition; Knowledge engineering; Knowledge representation; Power engineering and energy; Power system restoration; Power system simulation; Real time systems; Workstations;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.65935
Filename :
65935
Link To Document :
بازگشت