IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v163y2021icp1012-1022.html
   My bibliography  Save this article

An analytical approach to estimate structural and behavioral impact of renewable energy power plants on LMP

Author

Listed:
  • Poursalimi Jaghargh, Mohammad Javad
  • Mashhadi, Habib Rajabi

Abstract

Implementation of renewable energy support policies in many countries for the sake of energy security and climate change mitigation worldwide raises the importance of renewable energy power plants (REPPs) in analyzing power market features. In this article, an analytical method is introduced to examine the effect of REPPs on locational marginal price (LMP). To this end, taking into account REPPs, according to the social welfare maximization problem of the independent system operator (ISO), a new decomposition for LMP is proposed to analytically express the impact of the strategic behavior of conventional generation companies (GenCos) and the power system structure on LMP. The structural section of LMP is decomposed into four components to differentiate between the effect of GenCos and REPPs. The well-known Q-Learning (QL) algorithm models the GenCos’ decision-making process. The results prove that REPPs can change both the structural and behavioral components of the LMP and highlight the significance of GenCos’ strategic behavior. The results demonstrate that not considering the features of the power system in the design of support policies might raise the likelihood of congestion or the probability of strategic behaviors from GenCos, against the objectives of these policies.

Suggested Citation

  • Poursalimi Jaghargh, Mohammad Javad & Mashhadi, Habib Rajabi, 2021. "An analytical approach to estimate structural and behavioral impact of renewable energy power plants on LMP," Renewable Energy, Elsevier, vol. 163(C), pages 1012-1022.
  • Handle: RePEc:eee:renene:v:163:y:2021:i:c:p:1012-1022
    DOI: 10.1016/j.renene.2020.08.089
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148120313343
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2020.08.089?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Junjie Sun & Leigh Tesfatsion, 2007. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 291-327, October.
    2. Chan, Kam Fong & Gray, Philip & van Campen, Bart, 2008. "A new approach to characterizing and forecasting electricity price volatility," International Journal of Forecasting, Elsevier, vol. 24(4), pages 728-743.
    3. Milstein, Irena & Tishler, Asher, 2015. "Can price volatility enhance market power? The case of renewable technologies in competitive electricity markets," Resource and Energy Economics, Elsevier, vol. 41(C), pages 70-90.
    4. Tesfatsion, Leigh, 2007. "Agents come to bits: Towards a constructive comprehensive taxonomy of economic entities," Journal of Economic Behavior & Organization, Elsevier, vol. 63(2), pages 333-346, June.
    5. Cludius, Johanna & Hermann, Hauke & Matthes, Felix Chr. & Graichen, Verena, 2014. "The merit order effect of wind and photovoltaic electricity generation in Germany 2008–2016: Estimation and distributional implications," Energy Economics, Elsevier, vol. 44(C), pages 302-313.
    6. Cludius, Johanna & Forrest, Sam & MacGill, Iain, 2014. "Distributional effects of the Australian Renewable Energy Target (RET) through wholesale and retail electricity price impacts," Energy Policy, Elsevier, vol. 71(C), pages 40-51.
    7. Gullì, Francesco & Balbo, Antonio Lo, 2015. "The impact of intermittently renewable energy on Italian wholesale electricity prices: Additional benefits or additional costs?," Energy Policy, Elsevier, vol. 83(C), pages 123-137.
    8. Würzburg, Klaas & Labandeira, Xavier & Linares, Pedro, 2013. "Renewable generation and electricity prices: Taking stock and new evidence for Germany and Austria," Energy Economics, Elsevier, vol. 40(S1), pages 159-171.
    9. Tveten, Åsa Grytli & Bolkesjø, Torjus Folsland & Martinsen, Thomas & Hvarnes, Håvard, 2013. "Solar feed-in tariffs and the merit order effect: A study of the German electricity market," Energy Policy, Elsevier, vol. 61(C), pages 761-770.
    10. Sáenz de Miera, Gonzalo & del Ri­o González, Pablo & Vizcaino, Ignacio, 2008. "Analysing the impact of renewable electricity support schemes on power prices: The case of wind electricity in Spain," Energy Policy, Elsevier, vol. 36(9), pages 3345-3359, September.
    11. Traber, Thure & Kemfert, Claudia, 2011. "Gone with the wind? -- Electricity market prices and incentives to invest in thermal power plants under increasing wind energy supply," Energy Economics, Elsevier, vol. 33(2), pages 249-256, March.
    12. Tesfatsion, Leigh, 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," ISU General Staff Papers 200201010800001251, Iowa State University, Department of Economics.
    13. Dillig, Marius & Jung, Manuel & Karl, Jürgen, 2016. "The impact of renewables on electricity prices in Germany – An estimation based on historic spot prices in the years 2011–2013," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 7-15.
    14. Gallego-Castillo, Cristobal & Victoria, Marta, 2015. "Cost-free feed-in tariffs for renewable energy deployment in Spain," Renewable Energy, Elsevier, vol. 81(C), pages 411-420.
    15. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880, Elsevier.
    16. 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.
    17. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo, 2008. "The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany," Energy Policy, Elsevier, vol. 36(8), pages 3076-3084, August.
    18. Twomey, Paul & Neuhoff, Karsten, 2010. "Wind power and market power in competitive markets," Energy Policy, Elsevier, vol. 38(7), pages 3198-3210, July.
    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. Ye He & Siming Guo & Yu Wang & Yujia Zhao & Weidong Zhu & Fangyuan Xu & Chun Sing Lai & Ahmed F. Zobaa, 2022. "An Agent-Based Bidding Simulation Framework to Recognize Monopoly Behavior in Power Markets," Energies, MDPI, vol. 16(1), pages 1-19, December.

    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. Bell, William Paul & Wild, Phillip & Foster, John & Hewson, Michael, 2017. "Revitalising the wind power induced merit order effect to reduce wholesale and retail electricity prices in Australia," Energy Economics, Elsevier, vol. 67(C), pages 224-241.
    2. Gürtler, Marc & Paulsen, Thomas, 2018. "The effect of wind and solar power forecasts on day-ahead and intraday electricity prices in Germany," Energy Economics, Elsevier, vol. 75(C), pages 150-162.
    3. Figueiredo, Nuno Carvalho & Silva, Patrícia Pereira da, 2019. "The “Merit-order effect” of wind and solar power: Volatility and determinants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 54-62.
    4. Shao, Jing & Chen, Huanhuan & Li, Jinke & Liu, Guy, 2022. "An evaluation of the consumer-funded renewable obligation scheme in the UK for wind power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    5. Dillig, Marius & Jung, Manuel & Karl, Jürgen, 2016. "The impact of renewables on electricity prices in Germany – An estimation based on historic spot prices in the years 2011–2013," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 7-15.
    6. Csereklyei, Zsuzsanna & Qu, Songze & Ancev, Tihomir, 2019. "The effect of wind and solar power generation on wholesale electricity prices in Australia," Energy Policy, Elsevier, vol. 131(C), pages 358-369.
    7. Auer, Benjamin R., 2016. "How does Germany's green energy policy affect electricity market volatility? An application of conditional autoregressive range models," Energy Policy, Elsevier, vol. 98(C), pages 621-628.
    8. Pradhan, Ashis Kumar & Rout, Sandhyarani & Khan, Imran Ahmed, 2021. "Does market concentration affect wholesale electricity prices? An analysis of the Indian electricity sector in the COVID-19 pandemic context," Utilities Policy, Elsevier, vol. 73(C).
    9. 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.
    10. Nibedita, Barsha & Irfan, Mohd, 2022. "Analyzing the asymmetric impacts of renewables on wholesale electricity price: Empirical evidence from the Indian electricity market," Renewable Energy, Elsevier, vol. 194(C), pages 538-551.
    11. Kolb, Sebastian & Dillig, Marius & Plankenbühler, Thomas & Karl, Jürgen, 2020. "The impact of renewables on electricity prices in Germany - An update for the years 2014–2018," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    12. Sánchez de la Nieta, A.A. & Contreras, J., 2020. "Quantifying the effect of renewable generation on day–ahead electricity market prices: The Spanish case," Energy Economics, Elsevier, vol. 90(C).
    13. Cludius, Johanna & Hermann, Hauke & Matthes, Felix Chr. & Graichen, Verena, 2014. "The merit order effect of wind and photovoltaic electricity generation in Germany 2008–2016: Estimation and distributional implications," Energy Economics, Elsevier, vol. 44(C), pages 302-313.
    14. Thao Pham & Killian Lemoine, 2020. "Impacts of subsidized renewable electricity generation on spot market prices in Germany : Evidence from a GARCH model with panel data," Working Papers hal-02568268, HAL.
    15. Browne, Oliver & Poletti, Stephen & Young, David, 2015. "How does market power affect the impact of large scale wind investment in 'energy only' wholesale electricity markets?," Energy Policy, Elsevier, vol. 87(C), pages 17-27.
    16. Rinne, Sonja, 2024. "Estimating the merit-order effect using coarsened exact matching: Reconciling theory with the empirical results to improve policy implications," Energy Policy, Elsevier, vol. 185(C).
    17. Macedo, Daniela Pereira & Marques, António Cardoso & Damette, Olivier, 2020. "The impact of the integration of renewable energy sources in the electricity price formation: is the Merit-Order Effect occurring in Portugal?," Utilities Policy, Elsevier, vol. 66(C).
    18. 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).
    19. Jain, Sourabh & Jain, Nikunj Kumar, 2020. "Cost of electricity banking under open-access arrangement: A case of solar electricity in India," Renewable Energy, Elsevier, vol. 146(C), pages 776-788.
    20. Luňáčková, Petra & Průša, Jan & Janda, Karel, 2017. "The merit order effect of Czech photovoltaic plants," Energy Policy, Elsevier, vol. 106(C), pages 138-147.

    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:eee:renene:v:163:y:2021:i:c:p:1012-1022. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.