• DocumentCode
    695388
  • Title

    An Evaluation of Algorithms to Solve for Do-Not-Exceed Limits for Renewable Resources

  • Author

    Shaobo Zhang ; Singhal, Nikita G. ; Hedman, Kory W. ; Vittal, Vijay ; Junshan Zhang

  • Author_Institution
    Arizona State Univ., Tempe, AZ, USA
  • fYear
    2015
  • fDate
    5-8 Jan. 2015
  • Firstpage
    2567
  • Lastpage
    2576
  • Abstract
    As power systems become more reliant on intermittent resources, system operators are faced with the fact that the availability of intermittent resources is beyond human control and largely unpredictable. Due to the lack of compliance from intermittent resources to follow strict dispatch instructions, the dispatch instruction for an intermittent resource is proposed to be a desired dispatch range or a do-not-exceed (DNE) limit. In this paper, a two-stage robust optimization problem determines the DNE limits, which define the region where the system is guaranteed to reliably handle any wind realization within the specified DNE limit range. Two algorithms are implemented in this paper, each of which can handle the bilinear sub-problem in this two-stage problem. The results show that local search algorithms do not perform well when compared to a big-M based MILP reformulation. All numerical results are based on the IEEE-118 bus test system.
  • Keywords
    integer programming; linear programming; power generation dispatch; DNE limit range; DNE limits; IEEE-118 bus test system; MILP reformulation; dispatch instruction; intermittent resources; renewable resources; system operators; two-stage robust optimization problem; wind realization; Automatic generation control; Generators; Optimization; Robustness; Uncertainty; Wind forecasting; do not exceed limits; operations research; power system economics; power system optimization; power system reliability; renewable integration; robust optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2015 48th Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • ISSN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2015.309
  • Filename
    7070124