• DocumentCode
    88256
  • Title

    Corrective Voltage Control Scheme Considering Demand Response and Stochastic Wind Power

  • Author

    Rabiee, Abdorreza ; Soroudi, Alireza ; Mohammadi-Ivatloo, Behnam ; Parniani, Mostafa

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Zanjan, Zanjan, Iran
  • Volume
    29
  • Issue
    6
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    2965
  • Lastpage
    2973
  • Abstract
    This paper proposes a new approach for corrective voltage control (CVC) of power systems in presence of uncertain wind power generation and demand values. The CVC framework deals with the condition that a power system encounters voltage instability as a result of severe contingencies. The uncertainty of wind power generation and demand values is handled using a scenario-based modeling approach. One of the features of the proposed methodology is to consider participation of demand-side resources as an effective control facility that reduces control costs. Active and reactive redispatch of generating units and involuntary load curtailment are employed along with the voluntary demand-side participation (demand response) as control facilities in the proposed CVC approach. The CVC is formulated as a multi-objective optimization problem. The objectives are ensuring a desired loading margin while minimizing the corresponding control cost. This problem is solved using ε-constraint method, and fuzzy satisfying approach is employed to select the best solution from the Pareto optimal set. The proposed control framework is implemented on the IEEE 118-bus system to demonstrate its applicability and effectiveness.
  • Keywords
    Pareto optimisation; constraint theory; cost reduction; demand side management; fuzzy systems; power generation control; power generation dispatch; power generation economics; voltage control; wind power plants; ε-constraint method; CVC approach; IEEE 118-bus system; Pareto optimal set; control cost reduction; corrective voltage control; demand side resource; fuzzy satisfying approach; involuntary load curtailment; loading margin; multiobjective optimization problem; power demand value uncertainty handling; power system control; reactive generating units redispatch; scenario-based modeling approach; voltage instability; voluntary demand side participation; wind power generation uncertainty handling; Load modeling; Power system stability; Probabilistic logic; Reactive power; Voltage control; Wind power generation; Demand response (DR); loading margin (LM); scenario-based approach; voltage control; voltage security; wind power generation;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2316018
  • Filename
    6803089