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Designing risk-free service for renewable wind and solar resources

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  • Gupta, Aparna
  • Palepu, Sai

Abstract

In all world geographies, renewable energy investment is viewed as a major component of the solution to meet the global energy demand. However, key renewable energy resources, such as wind and solar, are inherently stochastic, and thus, pose significant risk and reliability challenges. We apply financial engineering asset securitization principles in this paper to carve out risk-free generation capability from wind and solar energy generation. A market driven, dynamically evolving design and pricing of a risk-free tranche is developed that would allow renewable generators to competitively bid and participate in day-ahead power markets. We apply the framework to wind and solar resources located in different US geographies and assess the risk-free performance of the tranche against a risk-free benchmark established in this paper.

Suggested Citation

  • Gupta, Aparna & Palepu, Sai, 2024. "Designing risk-free service for renewable wind and solar resources," European Journal of Operational Research, Elsevier, vol. 315(2), pages 715-728.
  • Handle: RePEc:eee:ejores:v:315:y:2024:i:2:p:715-728
    DOI: 10.1016/j.ejor.2023.11.041
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    as
    1. Zarnikau, J. & Woo, C.K. & Zhu, S. & Tsai, C.H., 2019. "Market price behavior of wholesale electricity products: Texas," Energy Policy, Elsevier, vol. 125(C), pages 418-428.
    2. Das, Saborni & Basu, Mousumi, 2020. "Day-ahead optimal bidding strategy of microgrid with demand response program considering uncertainties and outages of renewable energy resources," Energy, Elsevier, vol. 190(C).
    3. Doege, Jörg & Fehr, Max & Hinz, Juri & Lüthi, Hans-Jakob & Wilhelm, Martina, 2009. "Risk management in power markets: The Hedging value of production flexibility," European Journal of Operational Research, Elsevier, vol. 199(3), pages 936-943, December.
    4. Andreas Müller & Marcel Grandi, 2000. "Weather Derivatives: A Risk Management Tool for Weather-sensitive Industries," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 25(2), pages 273-287, April.
    5. Ferruzzi, Gabriella & Cervone, Guido & Delle Monache, Luca & Graditi, Giorgio & Jacobone, Francesca, 2016. "Optimal bidding in a Day-Ahead energy market for Micro Grid under uncertainty in renewable energy production," Energy, Elsevier, vol. 106(C), pages 194-202.
    6. Bhattacharya, Saptarshi & Gupta, Aparna & Kar, Koushik & Owusu, Abena, 2020. "Risk management of renewable power producers from co-dependencies in cash flows," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1081-1093.
    7. Cyrus Seera Ssebugenyi & Ivivi Joseph Mwaniki & Virginie S. Konlack, 2013. "On the Minimal Entropy Martingale Measure and Multinomial Lattices with Cumulants," Applied Mathematical Finance, Taylor & Francis Journals, vol. 20(4), pages 359-379, September.
    8. Deng, S.J. & Oren, S.S., 2006. "Electricity derivatives and risk management," Energy, Elsevier, vol. 31(6), pages 940-953.
    9. Cartea, Álvaro & Villaplana, Pablo, 2008. "Spot price modeling and the valuation of electricity forward contracts: The role of demand and capacity," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2502-2519, December.
    10. Dhaene, Jan & Stassen, Ben & Devolder, Pierre & Vellekoop, Michel, 2014. "The Minimal Entropy Martingale Measure in a market of traded financial and actuarial risks," LIDAM Discussion Papers ISBA 2014055, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    11. Francisco Pérez-González & Hayong Yun, 2013. "Risk Management and Firm Value: Evidence from Weather Derivatives," Journal of Finance, American Finance Association, vol. 68(5), pages 2143-2176, October.
    12. Jianqiang Cheng & Richard Li-Yang Chen & Habib N. Najm & Ali Pinar & Cosmin Safta & Jean-Paul Watson, 2018. "Chance-constrained economic dispatch with renewable energy and storage," Computational Optimization and Applications, Springer, vol. 70(2), pages 479-502, June.
    13. Marco Avellaneda, 1998. "Minimum-Relative-Entropy Calibration of Asset-Pricing Models," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 1(04), pages 447-472.
    14. Hain, Martin & Schermeyer, Hans & Uhrig-Homburg, Marliese & Fichtner, Wolf, 2018. "Managing renewable energy production risk," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 1-19.
    15. 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.
    16. Patrick L. Brockett & Mulong Wang & Chuanhou Yang, 2005. "Weather Derivatives and Weather Risk Management," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 8(1), pages 127-140, March.
    17. Bjørndal, Endre & Bjørndal, Mette Helene & Coniglio, Stefano & Körner, Marc-Fabian & Leinauer, Christina & Weibelzahl, Martin, 2023. "Energy storage operation and electricity market design: On the market power of monopolistic storage operators," European Journal of Operational Research, Elsevier, vol. 307(2), pages 887-909.
    18. Anton Orlov & Jana Sillmann & Ilaria Vigo, 2020. "Author Correction: Better seasonal forecasts for the renewable energy industry," Nature Energy, Nature, vol. 5(3), pages 271-271, March.
    19. Wang, Jianxiao & Zhong, Haiwang & Tang, Wenyuan & Rajagopal, Ram & Xia, Qing & Kang, Chongqing & Wang, Yi, 2017. "Optimal bidding strategy for microgrids in joint energy and ancillary service markets considering flexible ramping products," Applied Energy, Elsevier, vol. 205(C), pages 294-303.
    20. Vehvilainen, Iivo & Keppo, Jussi, 2003. "Managing electricity market price risk," European Journal of Operational Research, Elsevier, vol. 145(1), pages 136-147, February.
    21. Ludwig Kuznia & Bo Zeng & Grisselle Centeno & Zhixin Miao, 2013. "Stochastic optimization for power system configuration with renewable energy in remote areas," Annals of Operations Research, Springer, vol. 210(1), pages 411-432, November.
    22. Nikpour, Ahmad & Nateghi, Abolfazl & Shafie-khah, Miadreza & Catalão, João P.S., 2021. "Day-ahead optimal bidding of microgrids considering uncertainties of price and renewable energy resources," Energy, Elsevier, vol. 227(C).
    23. López Prol, Javier & Steininger, Karl W. & Zilberman, David, 2020. "The cannibalization effect of wind and solar in the California wholesale electricity market," Energy Economics, Elsevier, vol. 85(C).
    24. Marco Frittelli, 2000. "The Minimal Entropy Martingale Measure and the Valuation Problem in Incomplete Markets," Mathematical Finance, Wiley Blackwell, vol. 10(1), pages 39-52, January.
    25. 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.
    26. Carlo Lucheroni & Carlo Mari, 2021. "Internal hedging of intermittent renewable power generation and optimal portfolio selection," Annals of Operations Research, Springer, vol. 299(1), pages 873-893, April.
    27. Kiesel, Rüdiger & Paraschiv, Florentina, 2017. "Econometric analysis of 15-minute intraday electricity prices," Energy Economics, Elsevier, vol. 64(C), pages 77-90.
    28. Zarnikau, J. & Tsai, C.H. & Woo, C.K., 2020. "Determinants of the wholesale prices of energy and ancillary services in the U.S. Midcontinent electricity market," Energy, Elsevier, vol. 195(C).
    29. Alafita, T. & Pearce, J.M., 2014. "Securitization of residential solar photovoltaic assets: Costs, risks and uncertainty," Energy Policy, Elsevier, vol. 67(C), pages 488-498.
    30. Coulon, Michael & Powell, Warren B. & Sircar, Ronnie, 2013. "A model for hedging load and price risk in the Texas electricity market," Energy Economics, Elsevier, vol. 40(C), pages 976-988.
    31. Wozabal, David & Rameseder, Gunther, 2020. "Optimal bidding of a virtual power plant on the Spanish day-ahead and intraday market for electricity," European Journal of Operational Research, Elsevier, vol. 280(2), pages 639-655.
    32. Prokhorov, Oleksandr & Dreisbach, Dina, 2022. "The impact of renewables on the incidents of negative prices in the energy spot markets," Energy Policy, Elsevier, vol. 167(C).
    33. Mosquera-López, Stephanía & Nursimulu, Anjali, 2019. "Drivers of electricity price dynamics: Comparative analysis of spot and futures markets," Energy Policy, Elsevier, vol. 126(C), pages 76-87.
    34. Roulston, M.S. & Kaplan, D.T. & Hardenberg, J. & Smith, L.A., 2003. "Using medium-range weather forcasts to improve the value of wind energy production," Renewable Energy, Elsevier, vol. 28(4), pages 585-602.
    35. Anton Orlov & Jana Sillmann & Ilaria Vigo, 2020. "Better seasonal forecasts for the renewable energy industry," Nature Energy, Nature, vol. 5(2), pages 108-110, February.
    36. Falbo, P. & Felletti, D. & Stefani, S., 2010. "Integrated risk management for an electricity producer," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1620-1627, December.
    37. Bird, Lori & Lew, Debra & Milligan, Michael & Carlini, E. Maria & Estanqueiro, Ana & Flynn, Damian & Gomez-Lazaro, Emilio & Holttinen, Hannele & Menemenlis, Nickie & Orths, Antje & Eriksen, Peter Børr, 2016. "Wind and solar energy curtailment: A review of international experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 577-586.
    38. Liu, Wei & Wang, J.H. & Xie, Jun & Song, Chang, 2007. "Electricity securitization in China," Energy, Elsevier, vol. 32(10), pages 1886-1895.
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