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A review on risk-constrained hydropower scheduling in deregulated power market

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  • Hongling, Liu
  • Chuanwen, Jiang
  • Yan, Zhang

Abstract

In deregulated power market, hydro producer has in principle no other objective than to produce electricity and sell with maximum profit with lower market risk. Attention must focus on profit uncertainty caused by uncertainty in spot prices and reservoir inflow. The purpose of this review is to assess the state-of-the-art in hydropower operations considering profit risk under uncertainty and consider future directions for additional research and application. Physical and financial tools to hedge risk in bilateral market and risk-assessment methods are all discussed in detail. Furthermore, production resources can also be used to manage risk to a certain extent. This concept, when be integrated with variety of risk-management methods under stochastic optimal framework, has operational significance for hydro producer participating in electricity market.

Suggested Citation

  • Hongling, Liu & Chuanwen, Jiang & Yan, Zhang, 2008. "A review on risk-constrained hydropower scheduling in deregulated power market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1465-1475, June.
    • Handle: RePEc:eee:rensus:v:12:y:2008:i:5:p:1465-1475
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    Cited by:

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    2. de Queiroz, Anderson Rodrigo, 2016. "Stochastic hydro-thermal scheduling optimization: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 382-395.
    3. Li, Gong & Shi, Jing & Qu, Xiuli, 2011. "Modeling methods for GenCo bidding strategy optimization in the liberalized electricity spot market–A state-of-the-art review," Energy, Elsevier, vol. 36(8), pages 4686-4700.
    4. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    5. René Aïd, 2008. "Long-term risk management for utility companies: the next challenges," Working Papers hal-00409030, HAL.
    6. Ali Thaeer Hammid & Omar I. Awad & Mohd Herwan Sulaiman & Saraswathy Shamini Gunasekaran & Salama A. Mostafa & Nallapaneni Manoj Kumar & Bashar Ahmad Khalaf & Yasir Amer Al-Jawhar & Raed Abdulkareem A, 2020. "A Review of Optimization Algorithms in Solving Hydro Generation Scheduling Problems," Energies, MDPI, vol. 13(11), pages 1-21, June.
    7. Zimmermann, Florian & Bublitz, Andreas & Keles, Dogan & Fichtner, Wolf, 2019. "Cross-border effects of capacity remuneration mechanisms: The Swiss case," Working Paper Series in Production and Energy 35, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    8. Catalão, J.P.S. & Pousinho, H.M.I. & Contreras, J., 2012. "Optimal hydro scheduling and offering strategies considering price uncertainty and risk management," Energy, Elsevier, vol. 37(1), pages 237-244.
    9. Mengfei Xie & Suzhen Feng & Jinwen Wang & Maolin Zhang & Cheng Chen, 2022. "Impacts of Yield and Seasonal Prices on the Operation of Lancang Cascaded Reservoirs," Energies, MDPI, vol. 15(9), pages 1-11, April.
    10. Pérez-Díaz, Juan I. & Chazarra, M. & García-González, J. & Cavazzini, G. & Stoppato, A., 2015. "Trends and challenges in the operation of pumped-storage hydropower plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 767-784.
    11. Machado, Bruno Goulart F. & Bhagwat, Pradyumna C., 2020. "The impact of the generation mix on the current regulatory framework for hydropower remuneration in Brazil," Energy Policy, Elsevier, vol. 137(C).
    12. Gupta, Akshita & Kumar, Arun & Khatod, Dheeraj Kumar, 2019. "Optimized scheduling of hydropower with increase in solar and wind installations," Energy, Elsevier, vol. 183(C), pages 716-732.
    13. Ostadi, Bakhtiar & Motamedi Sedeh, Omid & Husseinzadeh Kashan, Ali, 2020. "Risk-based optimal bidding patterns in the deregulated power market using extended Markowitz model," Energy, Elsevier, vol. 191(C).

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