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Optimal Economic Dispatch and Risk Management of Thermal Power Plants in Deregulated Markets

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  • Matt Thompson

    (Queen's School of Business, Queen's University, Kingston, Ontario K7L 3N6, Canada)

Abstract

This paper presents a methodology for the valuation, optimization, market, margin and credit risk management of gas-fired power plants and associated tolling contracts. Term structure models for the power and gas forward curves are employed to facilitate hedging and risk adjustment and for improved forecasting of short-term prices. The model for the power forward curve is capable of reproducing the important phenomena often observed in power markets, including spot price spikes and spike clustering, negative prices, and the empirically observed volatility term structures of power and gas forward prices as well as the correlation term structure between these forward curves. The method solves the stochastic dynamic optimization problem that arises from the inclusion of the various operational constraints of gas-fired power plants including minimum uptime and downtime requirements, ramp rate restrictions and costs, variable output and efficiency rates, and minimum generation levels. The model involves the solution of a system of partial differential equations (PDEs), which are solved using the radial basis function (RBF) method. At each time step and operational configuration the model produces an analytic function (RBF expansion) for the value of the power plant as a function of the independent risk factors. These functions can be used for determining optimal operating strategies and can be differentiated analytically to obtain the relevant hedging statistics for the dynamic management of market risk. In addition, these value functions facilitate the calculation of the credit value adjustment (CVA) and potential future exposure (PFE) measurement of tolling contracts. The analytic differentiability of these value functions also facilitates the pricing and risk management of commodity contingent revolvers (CCRs), credit vehicles used to manage margin requirements that result from hedging market risk on an exchange.

Suggested Citation

  • Matt Thompson, 2013. "Optimal Economic Dispatch and Risk Management of Thermal Power Plants in Deregulated Markets," Operations Research, INFORMS, vol. 61(4), pages 791-809, August.
    • Handle: RePEc:inm:oropre:v:61:y:2013:i:4:p:791-809
    DOI: 10.1287/opre.2013.1190
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    References listed on IDEAS

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    1. Eduardo Schwartz & James E. Smith, 2000. "Short-Term Variations and Long-Term Dynamics in Commodity Prices," Management Science, INFORMS, vol. 46(7), pages 893-911, July.
    2. John Crosby, 2008. "A multi-factor jump-diffusion model for commodities," Quantitative Finance, Taylor & Francis Journals, vol. 8(2), pages 181-200.
    3. Hendrik Bessembinder & Michael L. Lemmon, 2002. "Equilibrium Pricing and Optimal Hedging in Electricity Forward Markets," Journal of Finance, American Finance Association, vol. 57(3), pages 1347-1382, June.
    4. Fleten, Stein-Erik & Lemming, Jacob, 2003. "Constructing forward price curves in electricity markets," Energy Economics, Elsevier, vol. 25(5), pages 409-424, September.
    5. Les Clewlow & Chris Strickland, 1999. "Valuing Energy Options in a One Factor Model Fitted to Forward Prices," Research Paper Series 10, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    7. Samer Takriti & Benedikt Krasenbrink & Lilian S.-Y. Wu, 2000. "Incorporating Fuel Constraints and Electricity Spot Prices into the Stochastic Unit Commitment Problem," Operations Research, INFORMS, vol. 48(2), pages 268-280, April.
    8. Les Clewlow & Chris Strickland, 1999. "A Multi-Factor Model for Energy Derivatives," Research Paper Series 28, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Matt Thompson & Matt Davison & Henning Rasmussen, 2004. "Valuation and Optimal Operation of Electric Power Plants in Competitive Markets," Operations Research, INFORMS, vol. 52(4), pages 546-562, August.
    10. Rene Carmona & Michael Coulon & Daniel Schwarz, 2012. "Electricity price modeling and asset valuation: a multi-fuel structural approach," Papers 1205.2299, arXiv.org.
    11. Chung-Li Tseng & Graydon Barz, 2002. "Short-Term Generation Asset Valuation: A Real Options Approach," Operations Research, INFORMS, vol. 50(2), pages 297-310, April.
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