• 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