IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i17p5320-d623170.html
   My bibliography  Save this article

Optimal Variable Renewable Energy Generation Schedules Considering Market Prices and System Operational Constraints

Author

Listed:
  • Veeraya Imcharoenkul

    (Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand)

  • Surachai Chaitusaney

    (Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand)

Abstract

The maximization of output from variable renewable energy (VRE) sources considering system operational constraints (SOCs) is a traditional method for maximizing VRE generators’ profits. However, in wholesale electricity markets, VRE participation tends to reduce marginal prices (MP) because of its low marginal costs. This circumstance, called the “merit-order effect” (MOE), reduces the generators’ profits. Thus, the traditional method is possibly no longer the best and only method to maximize the generators’ profits. Moreover, the VRE support schemes also affect MP, making MOE more severe. VRE curtailment can relieve MOE, but VRE output must be decreased, thereby reducing the generators’ profits. This paper proposes a method to find the optimal VRE generation schedules that maximize VRE generators’ profits while considering the trade-off among the VRE output, MP, and SOCs. The method combines the merit-order model and the unit-commitment model solved by the optimization tools in MATLAB. Thailand’s electrical system was the test system. The result shows that VRE generators’ profits from the proposed method are significantly higher than from the traditional method when the system has high wind penetration, and the generators have no support scheme. Curtailing approximately 7–10% of wind output can increase the average MP by 23.6–30%.

Suggested Citation

  • Veeraya Imcharoenkul & Surachai Chaitusaney, 2021. "Optimal Variable Renewable Energy Generation Schedules Considering Market Prices and System Operational Constraints," Energies, MDPI, vol. 14(17), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5320-:d:623170
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/17/5320/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/17/5320/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Henriot, Arthur, 2015. "Economic curtailment of intermittent renewable energy sources," Energy Economics, Elsevier, vol. 49(C), pages 370-379.
    2. Hirth, Lion & Ueckerdt, Falko & Edenhofer, Ottmar, 2015. "Integration costs revisited – An economic framework for wind and solar variability," Renewable Energy, Elsevier, vol. 74(C), pages 925-939.
    3. Klinge Jacobsen, Henrik & Schröder, Sascha Thorsten, 2012. "Curtailment of renewable generation: Economic optimality and incentives," Energy Policy, Elsevier, vol. 49(C), pages 663-675.
    4. Ringel, Marc, 2006. "Fostering the use of renewable energies in the European Union: the race between feed-in tariffs and green certificates," Renewable Energy, Elsevier, vol. 31(1), pages 1-17.
    5. Thao Pham, 2019. "Market Power Issues in Liberalized Wholesale Electricity Markets: A Review of the Literature with a Look into the Future," Revue d'économie politique, Dalloz, vol. 129(3), pages 325-354.
    6. del Río, Pablo & Mir-Artigues, Pere, 2014. "Combinations of support instruments for renewable electricity in Europe: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 287-295.
    7. Lion Hirth, 2018. "What caused the drop in European electricity prices? A factor decomposition analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    8. Ueckerdt, Falko & Hirth, Lion & Luderer, Gunnar & Edenhofer, Ottmar, 2013. "System LCOE: What are the costs of variable renewables?," Energy, Elsevier, vol. 63(C), pages 61-75.
    9. Clò, Stefano & Cataldi, Alessandra & Zoppoli, Pietro, 2015. "The merit-order effect in the Italian power market: The impact of solar and wind generation on national wholesale electricity prices," Energy Policy, Elsevier, vol. 77(C), pages 79-88.
    10. Ueckerdt, Falko & Brecha, Robert & Luderer, Gunnar, 2015. "Analyzing major challenges of wind and solar variability in power systems," Renewable Energy, Elsevier, vol. 81(C), pages 1-10.
    11. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    12. Thao Pham, 2019. "Market Power Issues in Liberalized Wholesale Electricity Markets: A Review of the Literature with a Look into the Future," Post-Print hal-02568252, HAL.
    13. Stelios Loumakis & Eugenia Giannini & Zacharias Maroulis, 2019. "Merit Order Effect Modeling: The Case of the Hellenic Electricity Market," Energies, MDPI, vol. 12(20), pages 1-20, October.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yi, Zonggen & Luo, Yusheng & Westover, Tyler & Katikaneni, Sravya & Ponkiya, Binaka & Sah, Suba & Mahmud, Sadab & Raker, David & Javaid, Ahmad & Heben, Michael J. & Khanna, Raghav, 2022. "Deep reinforcement learning based optimization for a tightly coupled nuclear renewable integrated energy system," Applied Energy, Elsevier, vol. 328(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ruhnau, Oliver & Hirth, Lion & Praktiknjo, Aaron, 2020. "Heating with wind: Economics of heat pumps and variable renewables," Energy Economics, Elsevier, vol. 92(C).
    2. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    3. Ueckerdt, Falko & Pietzcker, Robert & Scholz, Yvonne & Stetter, Daniel & Giannousakis, Anastasis & Luderer, Gunnar, 2017. "Decarbonizing global power supply under region-specific consideration of challenges and options of integrating variable renewables in the REMIND model," Energy Economics, Elsevier, vol. 64(C), pages 665-684.
    4. Pietzcker, Robert C. & Ueckerdt, Falko & Carrara, Samuel & de Boer, Harmen Sytze & Després, Jacques & Fujimori, Shinichiro & Johnson, Nils & Kitous, Alban & Scholz, Yvonne & Sullivan, Patrick & Ludere, 2017. "System integration of wind and solar power in integrated assessment models: A cross-model evaluation of new approaches," Energy Economics, Elsevier, vol. 64(C), pages 583-599.
    5. Rao, A. Gangoli & van den Oudenalder, F.S.C. & Klein, S.A., 2019. "Natural gas displacement by wind curtailment utilization in combined-cycle power plants," Energy, Elsevier, vol. 168(C), pages 477-491.
    6. Alexis Tantet & Philippe Drobinski, 2021. "A Minimal System Cost Minimization Model for Variable Renewable Energy Integration: Application to France and Comparison to Mean-Variance Analysis," Energies, MDPI, vol. 14(16), pages 1-38, August.
    7. Kyritsis, Evangelos & Andersson, Jonas & Serletis, Apostolos, 2017. "Electricity prices, large-scale renewable integration, and policy implications," Energy Policy, Elsevier, vol. 101(C), pages 550-560.
    8. Soria, Rafael & Portugal-Pereira, Joana & Szklo, Alexandre & Milani, Rodrigo & Schaeffer, Roberto, 2015. "Hybrid concentrated solar power (CSP)–biomass plants in a semiarid region: A strategy for CSP deployment in Brazil," Energy Policy, Elsevier, vol. 86(C), pages 57-72.
    9. Reichenberg, Lina & Hedenus, Fredrik & Odenberger, Mikael & Johnsson, Filip, 2018. "The marginal system LCOE of variable renewables – Evaluating high penetration levels of wind and solar in Europe," Energy, Elsevier, vol. 152(C), pages 914-924.
    10. Hu, Jing & Harmsen, Robert & Crijns-Graus, Wina & Worrell, Ernst & van den Broek, Machteld, 2018. "Identifying barriers to large-scale integration of variable renewable electricity into the electricity market: A literature review of market design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2181-2195.
    11. Khanna, Tarun M., 2022. "Using agricultural demand for reducing costs of renewable energy integration in India," Energy, Elsevier, vol. 254(PC).
    12. 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).
    13. Alexis Tantet & Marc Stéfanon & Philippe Drobinski & Jordi Badosa & Silvia Concettini & Anna Cretì & Claudia D’Ambrosio & Dimitri Thomopulos & Peter Tankov, 2019. "e 4 clim 1.0: The Energy for a Climate Integrated Model: Description and Application to Italy," Energies, MDPI, vol. 12(22), pages 1-37, November.
    14. Matsuo, Yuhji & Endo, Seiya & Nagatomi, Yu & Shibata, Yoshiaki & Komiyama, Ryoichi & Fujii, Yasumasa, 2020. "Investigating the economics of the power sector under high penetration of variable renewable energies," Applied Energy, Elsevier, vol. 267(C).
    15. Concettini, Silvia & Creti, Anna & Gualdi, Stanislao, 2022. "Assessing the regional redistributive effect of renewable power production through a spot market algorithm simulator: The case of Italy," Energy Economics, Elsevier, vol. 114(C).
    16. Schill, Wolf-Peter, 2014. "Residual Load, Renewable Surplus Generation and Storage Requirements in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 73, pages 65-79.
    17. Romeiro, Diogo Lisbona & Almeida, Edmar Luiz Fagundes de & Losekann, Luciano, 2020. "Systemic value of electricity sources – What we can learn from the Brazilian experience?," Energy Policy, Elsevier, vol. 138(C).
    18. Newbery, D., 2020. "Club goods and a tragedy of the commons: the Clean Energy Package and wind curtailment," Cambridge Working Papers in Economics 20119, Faculty of Economics, University of Cambridge.
    19. Lion Hirth, Falko Ueckerdt, and Ottmar Edenhofer, 2016. "Why Wind Is Not Coal: On the Economics of Electricity Generation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    20. Hirth, Lion, 2016. "The benefits of flexibility: The value of wind energy with hydropower," Applied Energy, Elsevier, vol. 181(C), pages 210-223.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5320-:d:623170. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.