• DocumentCode
    3467124
  • Title

    Multi-objective transmission network expansion planning in consideration of wind farms

  • Author

    Mori, Hiroyuki ; Kakuta, Hiroki

  • Author_Institution
    Dept. of Electron. & Bioinf., Meiji Univ., Kawasaki, Japan
  • fYear
    2011
  • fDate
    5-7 Dec. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, a new method for transmission network expansion planning (TNEP) with Multi-objective Memetic Algorithm (MOMA) is proposed. In resent year, the new environment under the power network liberalization and intermittent generation brings about uncertainties in power system operation and planning. It is of main concern to deal with variable output of renewable energy. This paper formulates TNEP with wind farms as a multi-objective optimization problem that optimizes probabilistic reliability index as well as the construction so that a set of the Pareto solutions is obtained through Monte Carlo Simulation (MCS). This paper proposes a new method for TNEP with MOMA that combines Multi-objective meta-heuristics (MOMH) with Tabu Search (TS) to obtain better solution sets. The effectiveness of the proposed method is successfully demonstrated in the IEEE 24-bus system with wind farms.
  • Keywords
    Monte Carlo methods; power transmission planning; power transmission reliability; wind power plants; MOMA; Monte Carlo simulation; Pareto solutions; expansion planning; multiobjective memetic algorithm; multiobjective metaheuristics; multiobjective transmission network; power network liberalization; probabilistic reliability index; renewable energy; wind farms; Correlation; Indexes; Probabilistic logic; Reliability; Sampling methods; Uncertainty; Wind farms; Memetic Algorithm; Monte Carlo Simulation; Multi-objective Meta-heuristics; Multi-objective Optimization; Probabilistic Reliability Index; Transmission Network Expansion Planning; Wind Farms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT Europe), 2011 2nd IEEE PES International Conference and Exhibition on
  • Conference_Location
    Manchester
  • ISSN
    2165-4816
  • Print_ISBN
    978-1-4577-1422-1
  • Electronic_ISBN
    2165-4816
  • Type

    conf

  • DOI
    10.1109/ISGTEurope.2011.6162676
  • Filename
    6162676