• DocumentCode
    2904409
  • Title

    Transmission expansion planning via a constructive heuristic algorithm in restructured electricity industry

  • Author

    Khorasani, H. ; Pourakbari-Kasmaei, Mahdi ; Romero, Ruben

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. Estadual Paulista, Ilha Solteira, Brazil
  • fYear
    2013
  • fDate
    2-4 Oct. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The transmission expansion planning problem in modern power systems is a large-scale, mixed-integer, nonlinear and non-convex problem. this paper presents a new mathematical model and a constructive heuristic algorithm (CHA) for solving transmission expansion planning problem under new environment of electricity restructuring. CHA finds an acceptable solution in an iterative process, where in each step a circuit is chosen using a sensitivity index and added to the system. The proposed model consider multiple generation scenarios therefore the methodology finds high quality solution in which it allows the power system operate adequacy in an environment with multiple generators scenarios. Case studies and simulation results using test systems show possibility of using Constructive heuristic algorithm in an open access system.
  • Keywords
    concave programming; integer programming; iterative methods; nonlinear programming; power transmission planning; CHA; constructive heuristic algorithm; iterative process; large-scale problem; mixed-integer problem; nonconvex problem; nonlinear problem; power systems; restructured electricity industry; sensitivity index; transmission expansion planning problem; Generators; Industries; MATLAB; Mathematical model; Robustness; Topology; Constructive heuristic algorithm; Multiple generating scenarios; Open access; Transmission expansion planning; hybrid model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power and Energy Conversion Systems (EPECS), 2013 3rd International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4799-0687-1
  • Type

    conf

  • DOI
    10.1109/EPECS.2013.6712989
  • Filename
    6712989