• DocumentCode
    437408
  • Title

    Solving a nodal spot market with voltage value functions using a hybrid optimization algorithm

  • Author

    Kim, Seon Gu ; Outhred, H. ; MacGill, I.

  • Author_Institution
    Sch. of Electr. Eng., New South Wales Univ., NSW, Australia
  • Volume
    1
  • fYear
    2004
  • fDate
    21-24 Nov. 2004
  • Firstpage
    548
  • Abstract
    The problem of managing voltage quality in a nodal spot market can be commercialized by incorporating a voltage value function (VVF) in each bid or offer function. The VVF allows market participants to specify the value they place on voltage quality by specifying their preferred voltage magnitude and tolerance parameters. From an economic perspective, this approach internalizes voltage management into a nodal spot market. It requires the use of a full AC network model. However, the resulting optimization problem might become non-convex and an optimization algorithm based on a gradient search method may not find the optimal solution. In this paper, we apply a hybrid optimization method that combines a probabilistic approach with deterministic optimization to improve the rate of market convergence and permit greater flexibility in the choice of voltage value function.
  • Keywords
    gradient methods; optimisation; power markets; probability; AC network model; gradient search method; hybrid optimization algorithm; nodal spot market; optimization problem; probabilistic approach; voltage quality; voltage value function; voltage value functions; Commercialization; Constraint optimization; Electricity supply industry; Load flow; Mathematical model; Optimization methods; Power system modeling; Pricing; Quality management; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 2004. PowerCon 2004. 2004 International Conference on
  • Print_ISBN
    0-7803-8610-8
  • Type

    conf

  • DOI
    10.1109/ICPST.2004.1460055
  • Filename
    1460055