• DocumentCode
    723813
  • Title

    Feasibility robustness evaluation of unit commitment in systems with wind power integration

  • Author

    Xuejiao Lei ; Xiaohong Guan ; Qiaozhu Zhai ; Yafei Yang

  • Author_Institution
    MOE KLINNS Lab., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    5476
  • Lastpage
    5481
  • Abstract
    Due to the inherent intermittency and uncertain variability, increasing integration of wind power brings challenges to unit commitment (UC) under uncertainty. Robust optimization (RO) approach is regarded as one of the most effective uncertain UC methods. But the major limit is its conservativeness in the objective function. Moreover, the coupling characteristic of so-called feasibility robustness and objective robustness of RO makes a dilemma to obtain robust but economically efficient UC solutions. In this paper, we dig out the core superiority of RO compared with deterministic UC in feasibility robustness and present the availability of spinning reserve issue. Then we establish feasibility robustness evaluation model, evaluating whether a UC state is robust in feasibility under uncertain wind power. The formulation decouples the feasibility robustness of RO method from objective robustness. Compared with the robust model, it is simplified and thus reduces the solving difficulty. Numerical tests show the method is effective in reliability and computational efficiency.
  • Keywords
    optimisation; power generation dispatch; power generation scheduling; wind power; core superiority; coupling characteristic; feasibility robustness evaluation; inherent intermittency; objective function; robust optimization; spinning reserve; uncertain variability; unit commitment; wind power integration; Computational modeling; Power transmission lines; Robustness; Spinning; Uncertainty; Wind forecasting; Wind power generation; Availability of Spinning Reserve; Feasibility Robustness; Grid Congestion; Uncertain Unit Commitment; Wind Penetration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161773
  • Filename
    7161773