IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v117y2016ip1p300-313.html
   My bibliography  Save this article

How much is enough? Optimal support payments in a renewable-rich power system

Author

Listed:
  • Rintamäki, Tuomas
  • Siddiqui, Afzal S.
  • Salo, Ahti

Abstract

The large-scale deployment of intermittent renewable energy sources may cause substantial power imbalance. Together with the transmission grid congestion caused by the remoteness of these sources from load centers, this creates a need for fast-adjusting conventional capacity such as gas-fired plants. However, these plants have become unprofitable because of lower power prices due to the zero marginal costs of renewables. Consequently, policymakers are proposing new measures for mitigating balancing costs and securing supply. In this paper, we take the perspective of the regulator to assess the effectiveness of support payments to flexible generators. Using data on the German power system, we implement a bi-level programming model, which shows that such payments for gas-fired plants in southern Germany reduce balancing costs and can be used as part of policy to integrate renewable energy.

Suggested Citation

  • Rintamäki, Tuomas & Siddiqui, Afzal S. & Salo, Ahti, 2016. "How much is enough? Optimal support payments in a renewable-rich power system," Energy, Elsevier, vol. 117(P1), pages 300-313.
    • Handle: RePEc:eee:energy:v:117:y:2016:i:p1:p:300-313
    DOI: 10.1016/j.energy.2016.10.058
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421631492X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2016.10.058?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. Hary, Nicolas & Rious, Vincent & Saguan, Marcelo, 2016. "The electricity generation adequacy problem: Assessing dynamic effects of capacity remuneration mechanisms," Energy Policy, Elsevier, vol. 91(C), pages 113-127.
    2. Steven A. Gabriel & Antonio J. Conejo & J. David Fuller & Benjamin F. Hobbs & Carlos Ruiz, 2013. "Complementarity Modeling in Energy Markets," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4419-6123-5, December.
    3. 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.
    4. Fusco, Francesco & Nolan, Gary & Ringwood, John V., 2010. "Variability reduction through optimal combination of wind/wave resources – An Irish case study," Energy, Elsevier, vol. 35(1), pages 314-325.
    5. Huber, Matthias & Dimkova, Desislava & Hamacher, Thomas, 2014. "Integration of wind and solar power in Europe: Assessment of flexibility requirements," Energy, Elsevier, vol. 69(C), pages 236-246.
    6. Friedrich Kunz, 2013. "Improving Congestion Management: How to Facilitate the Integration of Renewable Generation in Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    7. Florian Leuthold & Hannes Weigt & Christian Hirschhausen, 2012. "A Large-Scale Spatial Optimization Model of the European Electricity Market," Networks and Spatial Economics, Springer, vol. 12(1), pages 75-107, March.
    8. Batlle, Carlos & Vazquez, Carlos & Rivier, Michel & Perez-Arriaga, Ignacio J., 2007. "Enhancing power supply adequacy in Spain: Migrating from capacity payments to reliability options," Energy Policy, Elsevier, vol. 35(9), pages 4545-4554, September.
    9. Morales, Juan M. & Zugno, Marco & Pineda, Salvador & Pinson, Pierre, 2014. "Electricity market clearing with improved scheduling of stochastic production," European Journal of Operational Research, Elsevier, vol. 235(3), pages 765-774.
    10. Gabriel, Steven A. & Leuthold, Florian U., 2010. "Solving discretely-constrained MPEC problems with applications in electric power markets," Energy Economics, Elsevier, vol. 32(1), pages 3-14, January.
    11. Ueckerdt, Falko & Brecha, Robert & Luderer, Gunnar & Sullivan, Patrick & Schmid, Eva & Bauer, Nico & Böttger, Diana & Pietzcker, Robert, 2015. "Representing power sector variability and the integration of variable renewables in long-term energy-economy models using residual load duration curves," Energy, Elsevier, vol. 90(P2), pages 1799-1814.
    12. Batlle, C. & Rodilla, P., 2010. "A critical assessment of the different approaches aimed to secure electricity generation supply," Energy Policy, Elsevier, vol. 38(11), pages 7169-7179, November.
    13. Weigt, Hannes & Jeske, Till & Leuthold, Florian & von Hirschhausen, Christian, 2010. ""Take the long way down": Integration of large-scale North Sea wind using HVDC transmission," Energy Policy, Elsevier, vol. 38(7), pages 3164-3173, July.
    14. Baringo, L. & Conejo, A.J., 2011. "Wind power investment within a market environment," Applied Energy, Elsevier, vol. 88(9), pages 3239-3247.
    15. Winkler, Jenny & Gaio, Alberto & Pfluger, Benjamin & Ragwitz, Mario, 2016. "Impact of renewables on electricity markets – Do support schemes matter?," Energy Policy, Elsevier, vol. 93(C), pages 157-167.
    16. Javad Khazaei & Anthony Downward & Golbon Zakeri, 2014. "Modelling counter-intuitive effects on cost and air pollution from intermittent generation," Annals of Operations Research, Springer, vol. 222(1), pages 389-418, November.
    17. Leuthold, Florian & Weigt, Hannes & von Hirschhausen, Christian, 2008. "Efficient pricing for European electricity networks - The theory of nodal pricing applied to feeding-in wind in Germany," Utilities Policy, Elsevier, vol. 16(4), pages 284-291, December.
    18. Wolf-Peter Schill & Claudia Kemfert, 2011. "Modeling Strategic Electricity Storage: The Case of Pumped Hydro Storage in Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-88.
    19. Jaehnert, Stefan & Wolfgang, Ove & Farahmand, Hossein & Völler, Steve & Huertas-Hernando, Daniel, 2013. "Transmission expansion planning in Northern Europe in 2030—Methodology and analyses," Energy Policy, Elsevier, vol. 61(C), pages 125-139.
    20. Siddiqui, Afzal S. & Tanaka, Makoto & Chen, Yihsu, 2016. "Are targets for renewable portfolio standards too low? The impact of market structure on energy policy," European Journal of Operational Research, Elsevier, vol. 250(1), pages 328-341.
    21. Gutiérrez-Martín, F. & Da Silva-Álvarez, R.A. & Montoro-Pintado, P., 2013. "Effects of wind intermittency on reduction of CO2 emissions: The case of the Spanish power system," Energy, Elsevier, vol. 61(C), pages 108-117.
    22. Dupont, B. & De Jonghe, C. & Olmos, L. & Belmans, R., 2014. "Demand response with locational dynamic pricing to support the integration of renewables," Energy Policy, Elsevier, vol. 67(C), pages 344-354.
    23. Jonas Egerer & Clemens Gerbaulet & Richard Ihlenburg & Friedrich Kunz & Benjamin Reinhard & Christian von Hirschhausen & Alexander Weber & Jens Weibezahn, 2014. "Electricity Sector Data for Policy-Relevant Modeling: Data Documentation and Applications to the German and European Electricity Markets," Data Documentation 72, DIW Berlin, German Institute for Economic Research.
    24. Hach, Daniel & Spinler, Stefan, 2016. "Capacity payment impact on gas-fired generation investments under rising renewable feed-in — A real options analysis," Energy Economics, Elsevier, vol. 53(C), pages 270-280.
    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. Siddiqui, Afzal S. & Tanaka, Makoto & Chen, Yihsu, 2019. "Sustainable transmission planning in imperfectly competitive electricity industries: Balancing economic and environmental outcomes," European Journal of Operational Research, Elsevier, vol. 275(1), pages 208-223.
    2. Assembayeva, Makpal & Egerer, Jonas & Mendelevitch, Roman & Zhakiyev, Nurkhat, 2018. "A spatial electricity market model for the power system: The Kazakhstan case study," Energy, Elsevier, vol. 149(C), pages 762-778.
    3. Tang, Renbo & Yang, Jiandong & Yang, Weijia & Zou, Jin & Lai, Xu, 2019. "Dynamic regulation characteristics of pumped-storage plants with two generating units sharing common conduits and busbar for balancing variable renewable energy," Renewable Energy, Elsevier, vol. 135(C), pages 1064-1077.
    4. Bellocchi, Sara & Gambini, Marco & Manno, Michele & Stilo, Tommaso & Vellini, Michela, 2018. "Positive interactions between electric vehicles and renewable energy sources in CO2-reduced energy scenarios: The Italian case," Energy, Elsevier, vol. 161(C), pages 172-182.
    5. Višković, Verena & Chen, Yihsu & Siddiqui, Afzal S., 2017. "Implications of the EU Emissions Trading System for the South-East Europe Regional Electricity Market," Energy Economics, Elsevier, vol. 65(C), pages 251-261.
    6. Makpal Assembayeva & Jonas Egerer & Roman Mendelevitch & Nurkhat Zhakiyev, 2017. "A Spatial Electricity Market Model for the Power System of Kazakhstan," Discussion Papers of DIW Berlin 1659, DIW Berlin, German Institute for Economic Research.
    7. Moritz Schillinger & Hannes Weigt & Philipp Emanuel Hirsch, 2020. "Environmental flows or economic woes—Hydropower under global energy market changes," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-19, August.
    8. Yang, Weijia & Norrlund, Per & Chung, Chi Yung & Yang, Jiandong & Lundin, Urban, 2018. "Eigen-analysis of hydraulic-mechanical-electrical coupling mechanism for small signal stability of hydropower plant," Renewable Energy, Elsevier, vol. 115(C), pages 1014-1025.

    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. Jonas Egerer, 2016. "Open Source Electricity Model for Germany (ELMOD-DE)," Data Documentation 83, DIW Berlin, German Institute for Economic Research.
    2. Rintamäki, Tuomas & Siddiqui, Afzal S. & Salo, Ahti, 2017. "Does renewable energy generation decrease the volatility of electricity prices? An analysis of Denmark and Germany," Energy Economics, Elsevier, vol. 62(C), pages 270-282.
    3. Karel Janda & Jan Malek & Lukas Recka, 2017. "Influence of Renewable Energy Sources on Electricity Transmission Networks in Central Europe," Working Papers IES 2017/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2017.
    4. Jan Málek & Lukáš Recka & Karel Janda, 2017. "Impact of German Energiewende on transmission lines in the Central European region," CAMA Working Papers 2017-72, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Debia, Sébastien & Pineau, Pierre-Olivier & Siddiqui, Afzal S., 2021. "Strategic storage use in a hydro-thermal power system with carbon constraints," Energy Economics, Elsevier, vol. 98(C).
    6. Janda, Karel & Málek, Jan & Rečka, Lukáš, 2017. "Influence of renewable energy sources on transmission networks in Central Europe," Energy Policy, Elsevier, vol. 108(C), pages 524-537.
    7. Bublitz, Andreas & Keles, Dogan & Zimmermann, Florian & Fraunholz, Christoph & Fichtner, Wolf, 2018. "A survey on electricity market design: Insights from theory and real-world implementations of capacity remuneration mechanisms," Working Paper Series in Production and Energy 27, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    8. Egerer, Jonas & Weibezahn, Jens & Hermann, Hauke, 2016. "Two price zones for the German electricity market — Market implications and distributional effects," Energy Economics, Elsevier, vol. 59(C), pages 365-381.
    9. Bjørndal, Endre & Bjørndal, Mette & Gribkovskaia, Victoria, 2014. "A Nodal Pricing Model for the Nordic Electricity Market," Discussion Papers 2014/43, Norwegian School of Economics, Department of Business and Management Science.
    10. Karel Janda & Jan Malek & Lukas Recka, 2017. "The Influence of Renewable Energy Sources on the Czech Electricity Transmission System," Working Papers IES 2017/06, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Mar 2017.
    11. Bublitz, Andreas & Keles, Dogan & Zimmermann, Florian & Fraunholz, Christoph & Fichtner, Wolf, 2019. "A survey on electricity market design: Insights from theory and real-world implementations of capacity remuneration mechanisms," Energy Economics, Elsevier, vol. 80(C), pages 1059-1078.
    12. Karel Janda & Jan Málek & Lukáš Rečka, 2017. "Vliv obnovitelných zdrojů na českou soustavu přenosu elektřiny [The Impact of Renewable Energy Sources on the Czech Electricity Transmission System]," Politická ekonomie, Prague University of Economics and Business, vol. 2017(6), pages 728-750.
    13. Schönheit, David & Hladik, Dirk & Hobbie, Hannes & Möst, Dominik, 2020. "ELMOD documentation: Modeling of flow-based market coupling and congestion management," EconStor Preprints 217278, ZBW - Leibniz Information Centre for Economics.
    14. Kunz, Friedrich & Neuhoff, Karsten & Rosellón, Juan, 2016. "FTR allocations to ease transition to nodal pricing: An application to the German power system," Energy Economics, Elsevier, vol. 60(C), pages 176-185.
    15. Steinhäuser, J. Micha & Eisenack, Klaus, 2020. "How market design shapes the spatial distribution of power plant curtailment costs," Energy Policy, Elsevier, vol. 144(C).
    16. J. Micha Steinhäuser & Klaus Eisenack, 2015. "Spatial incidence of large-scale power plant curtailment costs," Working Papers V-379-15, University of Oldenburg, Department of Economics, revised Jul 2015.
    17. Grimm, Veronika & Rückel, Bastian & Sölch, Christian & Zöttl, Gregor, 2021. "The impact of market design on transmission and generation investment in electricity markets," Energy Economics, Elsevier, vol. 93(C).
    18. Jonas Egerer & Jens Weibezahn & Hauke Hermann, 2015. "Two Price Zones for the German Electricity Market: Market Implications and Distributional Effects," Discussion Papers of DIW Berlin 1451, DIW Berlin, German Institute for Economic Research.
    19. Karl-Kiên Cao & Kai von Krbek & Manuel Wetzel & Felix Cebulla & Sebastian Schreck, 2019. "Classification and Evaluation of Concepts for Improving the Performance of Applied Energy System Optimization Models," Energies, MDPI, vol. 12(24), pages 1-51, December.
    20. Mulder, Machiel & Scholtens, Bert, 2016. "A plant-level analysis of the spill-over effects of the German Energiewende," Applied Energy, Elsevier, vol. 183(C), pages 1259-1271.

    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:energy:v:117:y:2016:i:p1:p:300-313. 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/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.