DocumentCode :
1227314
Title :
Intelligent automatic generation of graphical one-line substation arrangement diagrams
Author :
Yongli, Zhu ; Malik, O.P.
Author_Institution :
North China Electr. Power Univ., Baoding, China
Volume :
18
Issue :
3
fYear :
2003
fDate :
7/1/2003 12:00:00 AM
Firstpage :
729
Lastpage :
735
Abstract :
The conventional graph editing of one-line substation diagrams for a graphical user interface is time-consuming and needs considerable effort. A method for automatic generation of the substation diagrams is described in this paper. In this method, artificial intelligence (AI) frames are adopted for the representation of substations and their network, some expert rules on the layout and drawing of substation buses are accumulated and summarized, and AI rule-based inference techniques are used for branch analysis on different types of buses and drawing of the buses and their branches. A vertical coordinates conversion relationship is obtained to narrow the testing of substation diagram components´ vertical layout. The method has been programmed and applied to two power system analysis programs, one of which is undergoing field test in a transmission system for real time fault diagnosis in northern China.
Keywords :
artificial intelligence; engineering graphics; graphical user interfaces; inference mechanisms; power system analysis computing; substations; AI rule-based inference techniques; artificial intelligence frames; branch analysis; buses; expert rules; graph editing; graphical one-line substation arrangement diagrams; graphical user interface; intelligent automatic diagrams generation; northern China; power system analysis programs; real time fault diagnosis; substation buses; substation diagram component vertical layout testing; vertical coordinates conversion relationship; Artificial intelligence; Graphical user interfaces; Knowledge based systems; Layout; Load flow; Load flow analysis; Power system analysis computing; Power systems; Substations; Wiring;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2003.813819
Filename :
1208349
Link To Document :
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