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Estimating the option value of a non-firm electricity tariff

Author

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  • Moore, J.
  • Woo, C.K.
  • Horii, B.
  • Price, S.
  • Olson, A.

Abstract

We estimate the option value of a non-firm electricity tariff commonly used by a local distribution company (LDC) in its electricity demand response program. This option value captures the benefit that a LDC enjoys from not serving an end-use load during high-price hours in a wholesale electricity market. It is conservative in that it does not include the cost savings in meeting the LDC's resource adequacy requirement or deferring transmission and distribution (T&D) investments necessary for delivering reliable service. Illustrated by a Northern California example, our two-pronged approach entails (a) a set of summer monthly market price regressions to forecast daily spot price distributions that incorporate uncertainty in natural gas price and weather; and (b) a simulation exercise to quantify the tariff's value under a specific design. The results indicate that a non-firm service tariff can have varying option value estimates that are highly sensitive to the tariff's design, and that an incentive payment based on the option value alone is likely insufficient to attract customer participation in a non-firm service program.

Suggested Citation

  • Moore, J. & Woo, C.K. & Horii, B. & Price, S. & Olson, A., 2010. "Estimating the option value of a non-firm electricity tariff," Energy, Elsevier, vol. 35(4), pages 1609-1614.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:4:p:1609-1614
    DOI: 10.1016/j.energy.2009.04.013
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    Cited by:

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    2. Foley, A.M. & Ó Gallachóir, B.P. & Hur, J. & Baldick, R. & McKeogh, E.J., 2010. "A strategic review of electricity systems models," Energy, Elsevier, vol. 35(12), pages 4522-4530.
    3. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
    4. Woo, C.K. & Chen, Y. & Olson, A. & Moore, J. & Schlag, N. & Ong, A. & Ho, T., 2017. "Electricity price behavior and carbon trading: New evidence from California," Applied Energy, Elsevier, vol. 204(C), pages 531-543.
    5. He, Yongxiu & Wang, Bing & Wang, Jianhui & Xiong, Wei & Xia, Tian, 2012. "Residential demand response behavior analysis based on Monte Carlo simulation: The case of Yinchuan in China," Energy, Elsevier, vol. 47(1), pages 230-236.
    6. Woo, C.K. & Tishler, A. & Zarnikau, J. & Chen, Y., 2021. "Average residential outage cost estimates for the lower 48 states in the US," Energy Economics, Elsevier, vol. 98(C).
    7. Woo, C.K. & Milstein, I. & Tishler, A. & Zarnikau, J., 2019. "A wholesale electricity market design sans missing money and price manipulation," Energy Policy, Elsevier, vol. 134(C).
    8. Chi-Keung Woo & Jay Zarnikau & Asher Tishler & Kang Hua Cao, 2022. "Insuring a Small Retail Electric Provider’s Procurement Cost Risk in Texas," Energies, MDPI, vol. 16(1), pages 1-12, December.
    9. Chi-Keung Woo & Ira Horowitz & Jay Zarnikau & Jack Moore & Brendan Schneiderman & Tony Ho & Eric Leung, 2016. "What Moves the Ex Post Variable Profit of Natural-Gas-Fired Generation in California?," The Energy Journal, , vol. 37(3), pages 29-57, July.

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