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Interruptible Electricity Contracts from an Electricity Retailer's Point of View: Valuation and Optimal Interruption

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  • Ross Baldick

    (Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas 78712)

  • Sergey Kolos

    (Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas 78712)

  • Stathis Tompaidis

    (Department of Information, Risk and Operations Management, McCombs School of Business, University of Texas at Austin, Austin, Texas 78712)

Abstract

We consider interruptible electricity contracts issued by an electricity retailer that allow for interruptions to electric service in exchange for either an overall reduction in the price of electricity delivered or for financial compensation at the time of interruption. We provide a structural model to determine electricity prices based on stochastic models of supply and demand. We use stochastic dynamic programming to value interruptible contracts from the point of view of an electricity retailer, and describe the optimal interruption strategy. We also demonstrate that structural models can be used to value contracts in competitive markets. Our numerical results indicate that, in a deregulated market, interruptible contracts can help alleviate supply problems associated with spikes of price and demand and that competition between retailers results in lower value and less frequent interruption.

Suggested Citation

  • Ross Baldick & Sergey Kolos & Stathis Tompaidis, 2006. "Interruptible Electricity Contracts from an Electricity Retailer's Point of View: Valuation and Optimal Interruption," Operations Research, INFORMS, vol. 54(4), pages 627-642, August.
    • Handle: RePEc:inm:oropre:v:54:y:2006:i:4:p:627-642
    DOI: 10.1287/opre.1060.0303
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    References listed on IDEAS

    as
    1. Chao, Hung-po & Wilson, Robert, 1987. "Priority Service: Pricing, Investment, and Market Organization," American Economic Review, American Economic Association, vol. 77(5), pages 899-916, December.
    2. Emery Troxel, 1949. "Inflation in Price-Regulated Industries," The Journal of Business, University of Chicago Press, vol. 22, pages 1-1.
    3. Sean D. Campbell & Francis X. Diebold, 2005. "Weather Forecasting for Weather Derivatives," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 6-16, March.
    4. repec:cto:journl:v:21:y:2002:i:3:p:515-544 is not listed on IDEAS
    5. Patrick Jaillet & Ehud I. Ronn & Stathis Tompaidis, 2004. "Valuation of Commodity-Based Swing Options," Management Science, INFORMS, vol. 50(7), pages 909-921, July.
    6. Rajnish Kamat & Shmuel S. Oren, 2002. "Exotic Options for Interruptible Electricity Supply Contracts," Operations Research, INFORMS, vol. 50(5), pages 835-850, October.
    7. Helyette Geman & A. Roncoroni, 2006. "Understanding the Fine Structure of Electricity Prices," Post-Print halshs-00144198, HAL.
    8. repec:dau:papers:123456789/1433 is not listed on IDEAS
    9. Hung-po Chao & Shmuel S. Oren & Stephen A. Smith & Robert B. Wilson, 1988. "Priority Service: Market Structure and Competition," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 77-104.
    10. Hélyette Geman & Andrea Roncoroni, 2006. "Understanding the Fine Structure of Electricity Prices," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1225-1262, May.
    11. John Tschirhart & Frank Jen, 1979. "Behavior of a Monopoly Offering Interruptible Service," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 244-258, Spring.
    12. Shmuel S. Oren & Stephen A. Smith, 1992. "Design and Management of Curtailable Electricity Service to Reduce Annual Peaks," Operations Research, INFORMS, vol. 40(2), pages 213-228, April.
    13. M. T. Barlow, 2002. "A Diffusion Model For Electricity Prices," Mathematical Finance, Wiley Blackwell, vol. 12(4), pages 287-298, October.
    14. Melanie Cao & Jason Wei, 2004. "Weather derivatives valuation and market price of weather risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(11), pages 1065-1089, November.
    15. Douglas W. Caves & Joseph A. Herriges, 1992. "Optimal Dispatch of Interruptible and Curtailable Service Options," Operations Research, INFORMS, vol. 40(1), pages 104-112, February.
    16. Brown, Gardner, Jr & Johnson, M Bruce, 1969. "Public Utility Pricing and Output under Risk," American Economic Review, American Economic Association, vol. 59(1), pages 119-128, March.
    17. Maurice W. Lee, 1953. "Hydroelectric Power in the Columbia Basin," The Journal of Business, University of Chicago Press, vol. 26, pages 173-173.
    Full references (including those not matched with items on IDEAS)

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