• DocumentCode
    1760324
  • Title

    Variable Resource Dispatch Through Do-Not-Exceed Limit

  • Author

    Jinye Zhao ; Tongxin Zheng ; Litvinov, Eugene

  • Author_Institution
    ISO New England, Inc., Holyoke, MA, USA
  • Volume
    30
  • Issue
    2
  • fYear
    2015
  • fDate
    42064
  • Firstpage
    820
  • Lastpage
    828
  • Abstract
    Due to the variability of renewable resources, the ISO tries to identify do-not-exceed (DNE) limits, which are the maximum renewable generation ranges that the power system can accommodate without sacrificing system reliability. The problem is formulated as an optimization problem whose objective is to find the largest operating ranges of variable resources such that the system remains feasible under any generation realizations within the range. Computing the DNE limits can be conceptually translated into finding the largest uncertain set of a robust optimization problem. Depending on the assumptions on how the system responds to the uncertainty of renewable resources, three alternative approaches are developed to convert the nonstandard robust optimization problem into linear programming, bilinear programming and two-stage robust optimization problems, respectively. Although the linear programming problem is easier to solve as compared to the other two alternatives, its resulting DNE limits are the most conservative. Therefore, the trade-off needs to be considered when deciding which approach is the most appropriate in real-time operation. A 5-bus system and the ISO New England power system are used to test the proposed approaches.
  • Keywords
    ISO standards; linear programming; load dispatching; power generation reliability; resource allocation; wind power plants; DNE limits; ISO New England power system; bilinear programming; do-not-exceed limit; renewable generation; renewable resources; resource dispatch; system reliability; Generators; Optimization; Real-time systems; Robustness; Security; Standards; Uncertainty; Adaptive policy; affine policy; economic dispatch; robust optimization; uncertainty; variable resources;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2333367
  • Filename
    6856230