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Duality Based Risk Mitigation Method for Construction of Joint Hydro-Wind Coordination Short-Run Marginal Cost Curves

Author

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  • Perica Ilak

    (Department of Energy and Power Systems, University of Zagreb Faculty of Electrical Engineering and Computing, Unska 3, Zagreb HR-10000, Croatia)

  • Ivan Rajšl

    (Department of Energy and Power Systems, University of Zagreb Faculty of Electrical Engineering and Computing, Unska 3, Zagreb HR-10000, Croatia)

  • Josip Đaković

    (Department of Energy and Power Systems, University of Zagreb Faculty of Electrical Engineering and Computing, Unska 3, Zagreb HR-10000, Croatia)

  • Marko Delimar

    (Department of Energy and Power Systems, University of Zagreb Faculty of Electrical Engineering and Computing, Unska 3, Zagreb HR-10000, Croatia)

Abstract

This study analyzes the short-run hydro generation scheduling for the wind power differences from the contracted schedule. The approach for construction of the joint short-run marginal cost curve for the hydro-wind coordinated generation is proposed and applied on the real example. This joint short-run marginal cost curve is important for its participation in the energy markets and for economic feasibility assessment of such coordination. The approach credibly describes the short-run marginal costs which this coordination bears in “real life”. The approach is based on the duality framework of a convex programming and as a novelty combines the shadow price of risk mitigation, which quantifies the hourly cost of mitigating risk, and the water shadow price, which quantifies the marginal cost of electricity production. The proposed approach is formulated as a stochastic linear program and tested on the case of the Vinodol hydropower system and the wind farm Vrataruša in Croatia. The result of the case study is a family of 24 joint short-run marginal cost curves. The proposed method is expected to be of great interest to investors as it enables risk mitigation for investors with diverse risk preferences, from risk-averse to risk-seeking.

Suggested Citation

  • Perica Ilak & Ivan Rajšl & Josip Đaković & Marko Delimar, 2018. "Duality Based Risk Mitigation Method for Construction of Joint Hydro-Wind Coordination Short-Run Marginal Cost Curves," Energies, MDPI, vol. 11(5), pages 1-12, May.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1254-:d:146303
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    References listed on IDEAS

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    1. Ilak, Perica & Rajšl, Ivan & Krajcar, Slavko & Delimar, Marko, 2015. "The impact of a wind variable generation on the hydro generation water shadow price," Applied Energy, Elsevier, vol. 154(C), pages 197-208.
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    3. Horsley, Anthony & Wrobel, Andrew J., 1999. "Efficiency rents of storage plants in peak-load pricing, ii: hydroelectricity," LSE Research Online Documents on Economics 19342, London School of Economics and Political Science, LSE Library.
    4. Perica Ilak & Slavko Krajcar & Ivan Rajšl & Marko Delimar, 2014. "Pricing Energy and Ancillary Services in a Day-Ahead Market for a Price-Taker Hydro Generating Company Using a Risk-Constrained Approach," Energies, MDPI, vol. 7(4), pages 1-26, April.
    5. Varkani, Ali Karimi & Daraeepour, Ali & Monsef, Hassan, 2011. "A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets," Applied Energy, Elsevier, vol. 88(12), pages 5002-5012.
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    Cited by:

    1. Krešimir Fekete & Srete Nikolovski & Zvonimir Klaić & Ana Androjić, 2019. "Optimal Re-Dispatching of Cascaded Hydropower Plants Using Quadratic Programming and Chance-Constrained Programming," Energies, MDPI, vol. 12(9), pages 1-25, April.
    2. Lin Herenčić & Perica Ilak & Ivan Rajšl, 2019. "Effects of Local Electricity Trading on Power Flows and Voltage Levels for Different Elasticities and Prices," Energies, MDPI, vol. 12(24), pages 1-19, December.
    3. Sara Raos & Perica Ilak & Ivan Rajšl & Tena Bilić & Ghislain Trullenque, 2019. "Multiple-Criteria Decision-Making for Assessing the Enhanced Geothermal Systems," Energies, MDPI, vol. 12(9), pages 1-23, April.

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