IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i16p4176-d398171.html
   My bibliography  Save this article

Insights on Germany’s Future Congestion Management from a Multi-Model Approach

Author

Listed:
  • Dirk Hladik

    (Chair of Energy Economics, Faculty of Economics and Business Management, Technische Universität Dresden, D-01062 Dresden, Germany)

  • Christoph Fraunholz

    (Chair of Energy Economics, Karlsruhe Institute of Technology (KIT), D-76187 Karlsruhe, Germany)

  • Matthias Kühnbach

    (Fraunhofer Institute for Systems and Innovation Research ISI, D-76139 Karlsruhe, Germany)

  • Pia Manz

    (Fraunhofer Institute for Systems and Innovation Research ISI, D-76139 Karlsruhe, Germany)

  • Robert Kunze

    (ESA 2 GmbH, D-01187 Dresden, Germany)

Abstract

In Germany, the political decision to phase out nuclear and coal-fired power as well as delays in the planned grid extension are expected to intensify the current issue of high grid congestion volumes. In this article, we investigate two instruments which may help to cope with these challenges: market splitting and the introduction of a capacity mechanism. For this purpose, we carry out a comprehensive system analysis by jointly applying the demand side models FORECAST and eLOAD, the electricity market model PowerACE and the optimal power flow model ELMOD. While a German market splitting has a positive short-term impact on the congestion volumes, we find the optimal zonal delimination determined for 2020 to become outdated by 2035 resulting in new grid bottlenecks. Yet, readjusting the zonal configuration would lower the ability of the market split to provide regional investment incentives. Introducing a capacity mechanism with a congestion indicator allows allocating new power plants in regions with higher electricity demand. Consequently, we find the required congestion management to be substantially reduced in this setting. However, given the large amount of design parameters, any capacity mechanism needs to be carefully planned before its introduction to avoid new inefficiences on the market side.

Suggested Citation

  • Dirk Hladik & Christoph Fraunholz & Matthias Kühnbach & Pia Manz & Robert Kunze, 2020. "Insights on Germany’s Future Congestion Management from a Multi-Model Approach," Energies, MDPI, vol. 13(16), pages 1-27, August.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4176-:d:398171
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/16/4176/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/16/4176/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacob Mays & David P. Morton & Richard P. O’Neill, 2019. "Asymmetric risk and fuel neutrality in electricity capacity markets," Nature Energy, Nature, vol. 4(11), pages 948-956, November.
    2. Trepper, Katrin & Bucksteeg, Michael & Weber, Christoph, 2015. "Market splitting in Germany – New evidence from a three-stage numerical model of Europe," Energy Policy, Elsevier, vol. 87(C), pages 199-215.
    3. 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.
    4. Keles, Dogan & Bublitz, Andreas & Zimmermann, Florian & Genoese, Massimo & Fichtner, Wolf, 2016. "Analysis of design options for the electricity market: The German case," Applied Energy, Elsevier, vol. 183(C), pages 884-901.
    5. Burstedde, Barbara, 2012. "From Nodal to Zonal Pricing - A Bottom-Up Approach to the Second-Best," EWI Working Papers 2012-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    6. Fraunholz, Christoph & Hladik, Dirk & Keles, Dogan & Möst, Dominik & Fichtner, Wolf, 2020. "On the long-term efficiency of market splitting in Germany," Working Paper Series in Production and Energy 38, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    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. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2017. "How to benefit from a common European electricity market design," Energy Policy, Elsevier, vol. 101(C), pages 629-643.
    9. 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.
    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. Michael Metzger & Mathias Duckheim & Marco Franken & Hans Joerg Heger & Matthias Huber & Markus Knittel & Till Kolster & Martin Kueppers & Carola Meier & Dieter Most & Simon Paulus & Lothar Wyrwoll & , 2021. "Pathways toward a Decarbonized Future—Impact on Security of Supply and System Stability in a Sustainable German Energy System," Energies, MDPI, vol. 14(3), pages 1-28, January.
    2. Glismann, Samuel, 2021. "Ancillary Services Acquisition Model: Considering market interactions in policy design," Applied Energy, Elsevier, vol. 304(C).
    3. Anurag Gautam & Ibraheem & Gulshan Sharma & Mohammad F. Ahmer & Narayanan Krishnan, 2023. "Methods and Methodologies for Congestion Alleviation in the DPS: A Comprehensive Review," Energies, MDPI, vol. 16(4), pages 1-28, February.
    4. Fett, Daniel & Fraunholz, Christoph & Keles, Dogan, 2021. "Diffusion and system impact of residential battery storage under different regulatory settings," Energy Policy, Elsevier, vol. 158(C).
    5. Schönheit, David & Dierstein, Constantin & Möst, Dominik, 2021. "Do minimum trading capacities for the cross-zonal exchange of electricity lead to welfare losses?," Energy Policy, Elsevier, vol. 149(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. Fraunholz, Christoph & Hladik, Dirk & Keles, Dogan & Möst, Dominik & Fichtner, Wolf, 2021. "On the long-term efficiency of market splitting in Germany," Energy Policy, Elsevier, vol. 149(C).
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. Fraunholz, Christoph & Miskiw, Kim K. & Kraft, Emil & Fichtner, Wolf & Weber, Christoph, 2021. "On the role of risk aversion and market design in capacity expansion planning," Working Paper Series in Production and Energy 62, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    7. Fraunholz, Christoph & Keles, Dogan & Fichtner, Wolf, 2021. "On the role of electricity storage in capacity remuneration mechanisms," Energy Policy, Elsevier, vol. 149(C).
    8. 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.
    9. Obermüller, Frank, 2017. "Build Wind Capacities at Windy Locations? Assessment of System Optimal Wind Locations," EWI Working Papers 2017-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    10. Ambrosius, Mirjam & Grimm, Veronika & Kleinert, Thomas & Liers, Frauke & Schmidt, Martin & Zöttl, Gregor, 2020. "Endogenous price zones and investment incentives in electricity markets: An application of multilevel optimization with graph partitioning," Energy Economics, Elsevier, vol. 92(C).
    11. 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.
    12. Felling, Tim, 2021. "Development of a genetic algorithm and its application to a bi-level problem of system cost optimal electricity price zone configurations," Energy Economics, Elsevier, vol. 101(C).
    13. 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.
    14. Lang, Lukas Maximilian & Dallinger, Bettina & Lettner, Georg, 2020. "The meaning of flow-based market coupling on redispatch measures in Austria," Energy Policy, Elsevier, vol. 136(C).
    15. Fraunholz, Christoph & Kraft, Emil & Keles, Dogan & Fichtner, Wolf, 2021. "Advanced price forecasting in agent-based electricity market simulation," Applied Energy, Elsevier, vol. 290(C).
    16. 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.
    17. Fraunholz, Christoph & Keles, Dogan & Fichtner, Wolf, 2019. "On the role of electricity storage in capacity remuneration mechanisms," Working Paper Series in Production and Energy 37, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    18. 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.
    19. Bucksteeg, Michael & Voswinkel, Simon & Blumberg, Gerald, 2023. "Improving flow-based market coupling by integrating redispatch potential - Evidence from a large-scale model," EconStor Preprints 270878, ZBW - Leibniz Information Centre for Economics.
    20. Ambrosius, M. & Egerer, J. & Grimm, V. & Weijde, A.H. van der, 2020. "Uncertain bidding zone configurations: The role of expectations for transmission and generation capacity expansion," European Journal of Operational Research, Elsevier, vol. 285(1), pages 343-359.

    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:13:y:2020:i:16:p:4176-:d:398171. 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.