• DocumentCode
    2986140
  • Title

    Optimal reserve dispatch and security-constrained unit commitment considering volatile wind

  • Author

    Chen, L.Y. ; Li, Z.Y.

  • Author_Institution
    Dept. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2013
  • fDate
    22-25 Oct. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, a combined model of optimal reserve dispatch and security-constrained unit commitment (SCUC) considering uncertain wind energy generation output is presented. To simulate the volatility and intermittency of wind energy, scenarios are generated by using Monte Carlo simulation with Latin hypercube sampling technique. After linearization of the nonlinear formulation, the bi-level mixed integer linear programming problem is solved by GAMS/CPLEX. Specifically, the SCUC and reserve dispatch problem is settled in the master problem with the forecasted values of wind energy generation, while the obtained generation dispatch scheme should meet the requirements due to uncertain wind power in the subproblems. Finally, to examine the effectiveness of the proposed model, case studies are conducted on the revised IEEE six-bus three-unit system and New England 39-bus 10-unit system, and five cases with different changing parameters are discussed in detail.
  • Keywords
    Monte Carlo methods; integer programming; linear programming; power generation dispatch; power generation scheduling; sampling methods; wind power plants; GAMS/CPLEX; IEEE six-bus three-unit system; Latin hypercube sampling technique; Monte Carlo simulation; New England 39-bus 10-unit system; SCUC; bilevel mixed integer linear programming problem; energy generation dispatch scheme; nonlinear formulation; optimal reserve dispatch; security constrained unit commitment; uncertain wind power; volatile wind; wind energy generation output; Economics; Fuels; Monte Carlo methods; Power transmission lines; Spinning; Wind forecasting; Wind power generation; Monte Carlo simulation; economic dispatch; mixed-integer linear programming; optimal reserve; scenario reduction; security-constrained unit commitment; uncertain scenarios;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
  • Conference_Location
    Xi´an
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-2825-5
  • Type

    conf

  • DOI
    10.1109/TENCON.2013.6718994
  • Filename
    6718994