• DocumentCode
    1348087
  • Title

    A practical approach to the conductor size selection in planning radial distribution systems

  • Author

    Wang, Zhuding ; Liu, Haijun ; Yu, David C. ; Wang, Xiaohui ; Song, Hongquan

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA
  • Volume
    15
  • Issue
    1
  • fYear
    2000
  • fDate
    1/1/2000 12:00:00 AM
  • Firstpage
    350
  • Lastpage
    354
  • Abstract
    This paper presents a new approach to the optimization problem of conductor size selection in planning radial distribution systems. In this study, a multisection, branching feeder model with nonuniform load distribution has been chosen to best approximate actual conditions found in most distribution systems. Since the optimization problem is formulated as an integer programming problem, it is difficult to solve such a large-scale problem accurately. Therefore, in order to find an approximately optimal solution quickly, the authors have developed a simple, practical approach, which relies on the combined usage of an economical current density based method and a heuristic index directed method. This approach needs no sophisticated optimization technique and, thus, is easy to implement. Because of the practicality of its features, the proposed approach can be a useful tool for distribution engineers. It is presently in use at several electric power bureaus, such as the Chongqing Electric Power Bureau in China. The detailed results of the designs of some typical radial feeders using the proposed approach are also presented and discussed
  • Keywords
    conductors (electric); integer programming; power cables; power distribution planning; China; conductor size selection approach; economical current density based method; heuristic index directed method; integer programming; large-scale problem; multisection branching feeder model; nonuniform load distribution; optimization problem; radial distribution systems planning; radial feeders; Conductors; Current density; Large-scale systems; Load modeling; Mathematical model; Power engineering and energy; Power generation economics; Power system economics; Power systems; Reliability engineering;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.847272
  • Filename
    847272