• DocumentCode
    3361791
  • Title

    The Dynamic Planning of Urban Substation Based on Weighted Voronoi Diagram

  • Author

    Liu Wen-xia ; Zhang Jian-hua ; Yang Xu ; Fan Yong-feng

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on dynamic programming method, the unified planning mathematical model of multi-voltage substation is established. The model takes the voltage levels as phases, the location and sizing of new stations as decision-making, the power supply scope as state, and the annual cost of multi-voltage levels overall investment as objective function. In the paper, for locating and sizing of 110 substations, dynamic and weighted Voronoi (V) diagram planning method is presented, and an algorithm based on Cellular Automata for creating V diagram is designed; for locating and sizing of 220 substations, differential coefficient evolutional algorithm based on GIS is adopted. Due to considering the effect of unusable plots, ensures the practicability of new substation locations. Practical examples show that: the proposed method can satisfy the requirements of substation planning well, and obtained the good efficiency.
  • Keywords
    cellular automata; computational geometry; decision making; dynamic programming; substations; cellular automata; decision-making; differential coefficient evolutional algorithm; dynamic planning; dynamic programming method; multivoltage substation; unified planning mathematical model; urban substation; weighted Voronoi diagram; Algorithm design and analysis; Cost function; Decision making; Dynamic programming; Investments; Mathematical model; Power supplies; Substations; Urban planning; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918879
  • Filename
    4918879