• DocumentCode
    648225
  • Title

    Economic valuation of wind curtailment rights

  • Author

    Yu, N.P. ; Sheng, H.Y. ; Johnson, R.

  • Author_Institution
    Southern California Edison, Rosemead, CA, USA
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The proportion of wind capacity in the generation portfolio continues to expand with increasing renewable penetration in the United States. The combination of more frequent negative real-time locational marginal prices and over-generation from wind farms has started to reduce wind farm owners´ operating profit in Independent System Operator (ISO) managed electricity markets. Therefore, it is vital for utilities/independent power producer to start negotiating (or renegotiating) wind energy procurement contracts with developers to include some type of curtailment rights. The contract negotiations call for the development of a comprehensive methodology to conduct economic valuation on curtailment rights. This paper addresses the needs by proposing a new method for evaluating wind farm curtailment rights. The valuation methodology not only considers the financial aspect but also closely models the physical dispatch of wind farms. The valuation method is applied to a generic wind farm in the California ISO (CAISO) system. The simulation results demonstrate that curtailment rights have a significant value to wind farm owners if the resource is bid appropriately into the wholesale power market.
  • Keywords
    investment; power generation dispatch; power generation economics; power markets; pricing; wind power plants; CAISO system; California ISO system; United States; electricity markets; generation portfolio; independent power producer; independent system operator; negative real-time locational marginal prices; renewable penetration; wholesale power market; wind capacity proportion; wind curtailment right economic valuation; wind energy procurement contracts; wind farm dispatch; wind farm owner operating profit; Autoregressive processes; Biological system modeling; Cost accounting; Economics; Predictive models; Wind; Wind farms; Contract Valuation; Markov Regime Switching; Wholesale Power Market; Wind Curtailment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672796
  • Filename
    6672796