DocumentCode
2078703
Title
Application of artificial intelligence in the design of low voltage electrical system
Author
Teo, C.Y. ; Shen, Feng
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Volume
3
fYear
2000
fDate
23-27 Jan 2000
Firstpage
1784
Abstract
To automate the design and assessment of low voltage distribution network, an easy-to-use prototype is developed to provide an AI approach to complete a sound design and analysis within a short time. Due to the maturity and diversity of the design techniques available in a LV system, heuristic rules are developed along with the optimization algorithms, graphical user interface and data visualization. The object-oriented database is used to store the design element and the completed designed network. The design rules and facts are represented in the object-oriented lookup database or hard-coding design procedures, which contains the heuristic rules, the meta-rules and also rules on how to automate the drawing of single-line diagrams. All the design element data, knowledge on the code of practice, design rules can be viewed and updated at run-time. A practical application of intelligent system is demonstrated
Keywords
artificial intelligence; data visualisation; distribution networks; graphical user interfaces; object-oriented databases; optimisation; power system CAD; LV system; artificial intelligence; data visualization; design element data; design techniques; graphical user interface; hard-coding design procedures; heuristic rules; intelligent system; low voltage distribution network; low voltage electrical system; meta-rules; object-oriented database; object-oriented lookup database; optimization algorithms; single-line diagrams drawing automation; Algorithm design and analysis; Artificial intelligence; Data visualization; Design optimization; Graphical user interfaces; Low voltage; Object oriented databases; Prototypes; Runtime; Visual databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society Winter Meeting, 2000. IEEE
Print_ISBN
0-7803-5935-6
Type
conf
DOI
10.1109/PESW.2000.847622
Filename
847622
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