• DocumentCode
    2639712
  • Title

    A new meta-heuristic method for probabilistic transmission network expansion planning

  • Author

    Mori, Hiroyuki ; Kakuta, Hiroki

  • Author_Institution
    Dept. of Electron. & Bioinf., Meiji Univ., Kawasaki, Japan
  • fYear
    2010
  • fDate
    19-22 April 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, a new meta-heuristic method is proposed to deal with probabilistic transmission network expansion planning. As meta-heuristics, this paper makes use of tabu search (TS) that is useful for solving a combinational optimization problem. In recent years, power networks increase the degree of uncertainties due to new environment of system liberations, the emergence of renewable energy, etc. As a result, a probabilistic method is required to handle transmission network expansion planning under uncertain environment. This paper proposes a new method for uncertain transmission network expansion planning. The proposed method solves a multi-objective optimization problem that considers probabilistic index EENS as well as the construction cost. The effectiveness of proposed method is successfully demonstrated in sample systems.
  • Keywords
    Cost function; Evolution (biology); Optimization methods; Power engineering and energy; Power system planning; Power system reliability; Power system simulation; Renewable energy resources; Temperature; Uncertainty; meta-heuristics; reliability criteria; tabu search; transmission network expansion planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exposition, 2010 IEEE PES
  • Conference_Location
    New Orleans, LA, USA
  • Print_ISBN
    978-1-4244-6546-0
  • Type

    conf

  • DOI
    10.1109/TDC.2010.5484393
  • Filename
    5484393