• DocumentCode
    10367
  • Title

    Power Distribution Network Expansion Planning Considering Distribution Automation

  • Author

    Heidari, Saeed ; Fotuhi-Firuzabad, Mahmud ; Kazemi, Shahram

  • Author_Institution
    Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
  • Volume
    30
  • Issue
    3
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    1261
  • Lastpage
    1269
  • Abstract
    This paper presents a novel profit-based model for multistage distribution network expansion planning. In the proposed model, some capabilities of the distribution automation system are considered to achieve a plan that is more compatible with the strategic plan towards a smart distribution grid. Moreover, a method for reliability evaluation of a distribution network in the planning studies is proposed. The objective function of the planning problem is the net present value of the company´s profit. The problem is solved by employing the genetic algorithm approach as a promising technique in solving the mixed-integer nonlinear programming problem. The proposed method is evaluated on an illustrative test network and the obtained results are presented and discussed.
  • Keywords
    genetic algorithms; integer programming; nonlinear programming; power distribution planning; power distribution reliability; smart power grids; distribution automation system; genetic algorithm approach; mixed-integer nonlinear programming problem; multistage distribution network expansion planning; planning problem objective function; power distribution network expansion planning; profit-based model; reliability evaluation; smart distribution grid; strategic plan; Digital signal processing; Equations; Investment; Mathematical model; Planning; Reliability; Substations; Distribution automation (DA); distribution system planning (DSP); distribution system reliability; genetic algorithm (GA); smart grid;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2339301
  • Filename
    6870673