• DocumentCode
    1593484
  • Title

    Distribution network planning using a constructive heuristic algorithm

  • Author

    Lavorato, Marina ; Rider, Marcos J. ; Garcia, Ariovaldo V. ; Romero, Rubén

  • Author_Institution
    Dept. of Electr. Energy Syst., Univ. of Campinas, Campinas, Brazil
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An optimization technique to solve distribution network planning (DNP) problem is presented. This is a very complex mixed binary nonlinear programming problem. A constructive heuristic algorithm (CHA) aimed at obtaining an excellent quality solution for this problem is presented. In each step of the CHA, a sensitivity index is used to add a circuit or a substation to the distribution network. This sensitivity index is obtained solving the DNP problem considering the numbers of circuits and substations to be added as continuous variables (relaxed problem). The relaxed problem is a large and complex nonlinear programming and was solved through an efficient nonlinear optimization solver. A local improvement phase and a branching technique were implemented in the CHA. Results of two tests using a distribution network are presented in the paper in order to show the ability of the proposed algorithm.
  • Keywords
    heuristic programming; nonlinear programming; power distribution planning; complex mixed binary nonlinear programming; constructive heuristic algorithm; distribution network planning; nonlinear optimization solver; sensitivity index; Circuit testing; Costs; Helium; Heuristic algorithms; Investments; Power system modeling; Power system planning; Power system reliability; Substations; Voltage; AMPL; Distribution network planning; KNITRO; constructive heuristic algorithm; mixed binary nonlinear programming; power systems optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2009. PES '09. IEEE
  • Conference_Location
    Calgary, AB
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-4241-6
  • Type

    conf

  • DOI
    10.1109/PES.2009.5275860
  • Filename
    5275860