• DocumentCode
    183829
  • Title

    Optimal unit commitment accounting for robust affine reserve policies

  • Author

    Warrington, Joseph ; Hohl, Christian ; Goulart, Paul J. ; Morari, Manfred

  • Author_Institution
    Autom. Control Lab., ETH Zurich, Zurich, Switzerland
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    5049
  • Lastpage
    5055
  • Abstract
    We describe a new approach to robust unit commitment for an electricity network, which couples the switching decisions to a set of time-coupled redispatch rules in order to minimize the expected cost of operation over a planning horizon. We assume bounded uncertainties arising from imperfect predictions of loads and intermittent renewable infeeds. We refer to the time-coupled redispatch rules as affine reserve policies, and they apply not only to generators but to other continuously-controllable devices such as energy storage units or demand response installations, which are modelled as generic mixed logical-dynamical systems. We use a lumped-parameter example to demonstrate that unit commitment decisions coupled with affine reserve policies can reduce the number of time periods in which expensive peaking plants need to be employed, and that the effect is present for a wide range of parameter values. An important benefit is that the approach allows the uncertainty of future energy storage levels to be managed more tightly than existing formulations would allow.
  • Keywords
    energy storage; load forecasting; minimisation; power generation dispatch; power system control; power system planning; bounded uncertainty; continuously-controllable device; demand response installation; electricity network; energy storage unit; generic mixed logical-dynamical system; lumped-parameter; optimal unit commitment; robust affine reserve policy; robust unit commitment; time-coupled redispatch rule; Energy storage; Generators; Planning; Robustness; Switches; Uncertainty; Vectors; Optimization; Power systems; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6858800
  • Filename
    6858800