• DocumentCode
    49840
  • Title

    Parameterization of linear supply functions in nonlinear AC electricity market equilibrium models - Part II: Case studies

  • Author

    Petoussis, Andreas G. ; Xiao-Ping Zhang ; Petoussis, Savvas G. ; Godfrey, K.R.

  • Author_Institution
    Sch. of Eng., Univ. of Warwick, Coventry, UK
  • Volume
    28
  • Issue
    2
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    659
  • Lastpage
    668
  • Abstract
    This study utilizes the primal-dual nonlinear interior point algorithm formulated in Part I of this two-series paper, to obtain electricity market supply function equilibrium solutions for the bi-level market problem of nonlinear power systems with AC meshed networks. The strategic offers of the market players are modeled by parameterizing the generation marginal cost functions using any of the four available parameterization methods to obtain profit-maximizing linear supply function bids. The analysis takes into account a variety of test systems and examines the relation between the equilibrium solutions obtained from the different parameterization methods and the role of network complexity. An analysis of multiple equilibria in AC network constrained systems is also provided.
  • Keywords
    costing; power generation economics; power markets; AC meshed networks; AC network constrained systems; bi-level market problem; generation marginal cost functions; linear supply function parameterization; network complexity; nonlinear AC electricity market equilibrium model; nonlinear power systems; parameterization method; primal-dual nonlinear interior point algorithm; profit-maximizing linear supply function bids; Complexity theory; Cost function; Electricity supply industry; Power system economics; AC network modeling; SFE parameterization; electricity market equilibrium; network congestion; nodal prices; power system economics; supply function equilibrium;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2214244
  • Filename
    6319375