• DocumentCode
    135492
  • Title

    Toward combining intra-real time dispatch (RTD) and AGC for on-line power balancing

  • Author

    Ilie, Marija D. ; Xiaoqi Yin ; Qixing Liu ; Yang Weng

  • Author_Institution
    Dept. of Elec. & Comp. Eng., Carnegie Mellon Univ. Pittsburgh, Pittsburgh, PA, USA
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper we propose first a predictive adaptive intra-RTD dispatch comprising: (1) Intra-RTD non-zero mean predictor which utilizes historic data about various uncertainties to predict the most likely non-zero mean imbalances; and, (2) Adaptive controller for non-zero mean intra-RTD imbalances using two-stage robust optimization. The result of applying these methods sequentially at the beginning of each RTD interval is the least-cost robust adaptation of RTD schedules in anticipation of the most likely non-zero mean imbalances. We illustrate how this proposed predictive adaptive intra-RTD dispatch can be implemented for a typical hour. Second, only hard-to-predict near-zero-mean imbalances are compensated using Automatic Generation Control (AGC). The basic conclusion is that a combination of predictive adaptive intra-RTD and recently proposed Enhanced-AGC (E-AGC) should be used for the least cost on-line balancing of non-zero mean and zero mean imbalances, respectively.
  • Keywords
    adaptive control; optimisation; power generation control; power generation dispatch; power plants; predictive control; AGC; E-AGC; adaptive controller; automatic generation control; enhanced-AGC; intra-RTD nonzero mean predictor; intra-real time dispatch; nonzero mean intra-RTD imbalances; on-line power balancing; power plants; predictive adaptive intra-RTD dispatch; two-stage robust optimization; zero mean imbalances; Generators; Power generation; Power measurement; Rotors; Schedules; Silicon; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939398
  • Filename
    6939398