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Valuing Flexibilities in Power Systems as Optionalities

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Economics of Power Systems

Abstract

Flexibilities and optionalities in electricity systems are getting increasingly relevant in electricity systems for two reasons: first, the financial trading of electricity products which leads to consider flexibilities in physical assets, like power plants, analogously to financial contracts with flexibilities, namely as “real options”. Second, with the increasing shares of fluctuating renewables, there is a substantial threat of lacking flexibility. More flexibility may be needed when forecast errors increase while the shares of controllable conventional power plants decline in parallel. The chapter starts with the financial perspective on flexibilities. This includes modelling prices as stochastic processes, e.g. as Ornstein-Uhlenbeck process. The concept of the hourly price forward curve to link future and spot prices in electricity markets is then introduced. These elements form the basis for a first simple option valuation approach. A digression to financial options and the seminal Black-Scholes model follows. Assumptions as well as merits and limits of this approach for electricity markets are thereby scrutinised. The modelling of thermal and hydropower plants as options is subsequently developed. An application example shows how the method enables to identify the intrinsic value and the time value of power plants. Finally, the challenge to combine this asset valuation with the system perspective is addressed.

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Notes

  1. 1.

    There was an exemption during the beginning of the Corona crisis in April 2020, as oil demand suddenly sharply decreased resulting in negative prices for the US standard  oil variety WTI (West Texas Intermediate). In fact, the strong demand shock coincided with a lack of spare physical storage at the delivery point – and this combination drove prices below zero given that WTI futures are settled physically, contrarily to the common practice mentioned in Sect. 8.6.

  2. 2.

    Yet all statistical and econometric methods rely in one way or another on the assumption of the absence of structural breaks.

  3. 3.

    A broad variety of options is traded on financial markets. The most standard options are labelled European and American options. European options may only be exercised at the exercise date, whereas American options may be exercised any time up to the exercise date. So for American options “early exercise”, i.e. a use before the agreed exercise date is possible whereas it is not for European options. Real options involve a physical activity and hence obviously may not exercised in advance—they correspond to European options, or often rather to a sequence of European options (cf. Sect. 11.6).

  4. 4.

    The term underlying is used in finance to designate the asset, which a derivative is based on, e.g. the shares of a particular company, cf. also Sect. 8.2.

  5. 5.

    These products are frequently subsumed under the term “derivatives” (cf. Chap. 8). Yet we avoid this nomenclature in the following to avoid confusion with the mathematical concept of derivatives of a function.

  6. 6.

    Note that there are no indices \(T|t\) or likewise to the value function \(V\) as in the previous subsection. In fact, we consider here always the value at time \(t\) evaluated with information at the same time \(t\). Therefore, we drop these unnecessary, identical indices.

  7. 7.

    Mathematically, it is a consequence of Ito’s lemma, which is a fundamental theorem in stochastic calculus.

  8. 8.

    Pushing even further, a CHP plant with heat as second output besides electricity is dependent on four underlyings.

  9. 9.

    Swing options have been introduced in the finance literature mostly to describe the characteristics of common gas contracts, which include minimum and maximum delivery quantities, cf. e.g. Jaillet et al. (2004).

  10. 10.

    The so-called ParFuM-model used by Kallabis et al. (2016) and Beran et al. (2019) is a somewhat more sophisticated version of a merit-order type model that may be applied in that context, cf. Pape (2018) for an application with more long-term focus.

References

  • Beran, P., Pape, C., & Weber, C. (2019). Modelling German electricity wholesale spot prices with a parsimonious fundamental model – Validation & application. Utilities Policy, 58, 27–39. https://doi.org/10.1016/j.jup.2019.01.008.

  • Bertoin, J. (1996). Lévy processes. Cambridge University Press.

    Google Scholar 

  • Black, F. (1976). The pricing of commodity contracts. Journal of Financial Economics, 3, 167–179.

    Google Scholar 

  • Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities. Journal of Political Economy, 81, 637–654.

    Google Scholar 

  • Bollerslev, T. (1990). Modeling the coherence in short-run nominal exchange rates: A multivariate generalized ARCH model. Review of Economics and Statistics, 74, 498–505.

    Google Scholar 

  • Burger, M., Schindlmayr, G., & Graeber, B. (2014). Managing energy risk. A practical guide for risk management in power, gas and other energy markets (2nd ed.). Wiley.

    Google Scholar 

  • Heston, S. L. (1993). A closed-form solution for options with stochastic volatility with applications to bond and currency options. The Review of Financial Studies, 6, 327–343. https://doi.org/10.1093/rfs/6.2.327.

  • Hull, J. (2021). Options, futures, and other derivatives (11th ed.). Pearson.

    Google Scholar 

  • Jaillet, P., Ronn, E. I., & Tompaidis, S. (2004). Valuation of commodity-based swing options. Management Science, 50, 909–921.

    Google Scholar 

  • Kallabis, T., Pape, C., & Weber, C. (2016). The plunge in German electricity futures prices – analysis using a parsimonious fundamental model. Energy Policy, 95, 280–290. https://doi.org/10.1016/j.enpol.2016.04.025.

  • Longstaff, F. A., & Schwartz, E. S. (2001). Valuing American options by simulation: A simple least-squares approach. The Review of Financial Studies, 14, 113–147.

    Google Scholar 

  • Margrabe, W. (1978). The value of an option to exchange one asset for another. The Journal of Finance, 33, 177–186.

    Google Scholar 

  • Merton, R. C. (1973). Theory of rational option pricing. The Bell Journal of Economics and Management Science, 4, 141–183.

    Google Scholar 

  • Nadarajah, S., Margot, F., & Secomandi, N. (2017). Comparison of least squares Monte Carlo methods with applications to energy real options. European Journal of Operational Research, 256, 196–204.

    Google Scholar 

  • Pape, C. (2018). The impact of intraday markets on the market value of flexibility – Decomposing effects on profile and the imbalance costs. Energy Economics, 76, 186–201. https://doi.org/10.1016/j.eneco.2018.10.004.

  • Schachermayer, W., & Teichmann, J. (2008). How close are the option pricing formulas of Bachelier and Black-Merton-Scholes? Mathematical Finance, 18, 155–170.

    Google Scholar 

  • Weber, C. (2005). Uncertainty in the electric power industry – methods and models for decision support. Springer.

    Google Scholar 

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Correspondence to Christoph Weber .

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Weber, C., Möst, D., Fichtner, W. (2022). Valuing Flexibilities in Power Systems as Optionalities. In: Economics of Power Systems. Springer Texts in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-97770-2_11

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