• DocumentCode
    46902
  • Title

    Transmission and Wind Investment in a Deregulated Electricity Industry

  • Author

    Maurovich-Horvat, Lajos ; Boomsma, Trine K. ; Siddiqui, Afzal S.

  • Author_Institution
    Dept. of Stat. Sci., Univ. Coll. London, London, UK
  • Volume
    30
  • Issue
    3
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    1633
  • Lastpage
    1643
  • Abstract
    Adoption of dispersed renewable energy technologies requires transmission network expansion. Besides the transmission system operator (TSO), restructuring of electricity industries has introduced a merchant investor (MI), who earns congestion rents from constructing new lines. We compare these two market designs via a stochastic bi-level programming model that has either the MI or the TSO making transmission investment decisions at the upper level and power producers determining generation investment and operation at the lower level while facing wind power variability. We find that social welfare is always higher under the TSO because the MI has incentive to boost congestion rents by restricting capacities of transmission lines. Such strategic behavior also limits investment in wind power by producers. However, regardless of the market design (MI or TSO), when producers behave à la Cournot, a higher proportion of energy is produced by wind. In effect, withholding of generation capacity by producers prompts more transmission investment since the TSO aims to increase welfare by subsidizing wind and the MI creates more flow to maximize profit.
  • Keywords
    investment; power markets; power transmission economics; stochastic programming; wind power plants; TSO; deregulated electricity industry; dispersed renewable energy technology; market design; merchant investor; social welfare; stochastic bi-level programming model; transmission investment; transmission lines; transmission network expansion; transmission system operator; wind investment; wind power variability; Availability; Electricity; Industries; Investment; Power transmission lines; Stochastic processes; Wind power generation; Market design; mathematical programming with equilibrium constraints (MPEC); transmission; wind power;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2367107
  • Filename
    6960914