IDEAS home Printed from https://ideas.repec.org/p/diw/diwwpp/dp1624.html
   My bibliography  Save this paper

Evaluating the Role of Electricity Storage by Considering Short-Term Operation in Long-Term Planning

Author

Listed:
  • Tom Brijs
  • Arne van Stiphout
  • Sauleh Siddiqui
  • Ronnie Belmans

Abstract

Short-term operating requirements and constraints in power systems are becoming increasingly important with the greater flexibility needed due to the integration of variable renewables. However, large problem sizes and computational barriers have limited the extent to which they are included in long-term planning models. Our objective is to understand the role of electricity storage in future renewable-based systems by including an accurate representation of short-term operation within a long-term planning framework. Specifically, we discuss the development of a long-term investment model including a continuous relaxation of the technology- clustered formulation of the short-term unit commitment problem. This model is applied to a test system having similar characteristics to the Belgian power system in a greenfield setting, i.e., assuming no pre-existing capacities, to analyze the role of storage at different renewable penetration levels. Both pumped-hydro storage and battery energy storage is considered, and their role in providing energy services and frequency control is investigated. We derive conclusions on the benefits and role of electricity storage to motivate why it may be built and operated. Results show that, in general, the integration of storage resources decreases total system cost, partially replaces flexible power plants, facilitates the integration of renewable energy sources, and allows inflexible technologies to perform better.

Suggested Citation

  • Tom Brijs & Arne van Stiphout & Sauleh Siddiqui & Ronnie Belmans, 2016. "Evaluating the Role of Electricity Storage by Considering Short-Term Operation in Long-Term Planning," Discussion Papers of DIW Berlin 1624, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp1624
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.548146.de/dp1624.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tom Brijs & Daniel Huppmann & Sauleh Siddiqui & Ronnie Belmans, 2016. "Auction-Based Allocation of Shared Electricity Storage Resources through Physical Storage Rights," Discussion Papers of DIW Berlin 1566, DIW Berlin, German Institute for Economic Research.
    2. Andreas Schröder & Friedrich Kunz & Jan Meiss & Roman Mendelevitch & Christian von Hirschhausen, 2013. "Current and Prospective Costs of Electricity Generation until 2050," Data Documentation 68, DIW Berlin, German Institute for Economic Research.
    3. Geth, F. & Brijs, T. & Kathan, J. & Driesen, J. & Belmans, R., 2015. "An overview of large-scale stationary electricity storage plants in Europe: Current status and new developments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1212-1227.
    4. Haller, Markus & Ludig, Sylvie & Bauer, Nico, 2012. "Bridging the scales: A conceptual model for coordinated expansion of renewable power generation, transmission and storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2687-2695.
    5. Zerrahn, Alexander & Schill, Wolf-Peter, 2017. "Long-run power storage requirements for high shares of renewables: review and a new model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1518-1534.
    6. Schill, Wolf-Peter, 2014. "Residual load, renewable surplus generation and storage requirements in Germany," Energy Policy, Elsevier, vol. 73(C), pages 65-79.
    7. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    8. Weitemeyer, Stefan & Kleinhans, David & Vogt, Thomas & Agert, Carsten, 2015. "Integration of Renewable Energy Sources in future power systems: The role of storage," Renewable Energy, Elsevier, vol. 75(C), pages 14-20.
    9. Poncelet, Kris & Delarue, Erik & Six, Daan & Duerinck, Jan & D’haeseleer, William, 2016. "Impact of the level of temporal and operational detail in energy-system planning models," Applied Energy, Elsevier, vol. 162(C), pages 631-643.
    10. de Sisternes, Fernando J. & Jenkins, Jesse D. & Botterud, Audun, 2016. "The value of energy storage in decarbonizing the electricity sector," Applied Energy, Elsevier, vol. 175(C), pages 368-379.
    11. De Jonghe, Cedric & Delarue, Erik & Belmans, Ronnie & D'haeseleer, William, 2011. "Determining optimal electricity technology mix with high level of wind power penetration," Applied Energy, Elsevier, vol. 88(6), pages 2231-2238, June.
    12. Tuohy, A. & O'Malley, M., 2011. "Pumped storage in systems with very high wind penetration," Energy Policy, Elsevier, vol. 39(4), pages 1965-1974, April.
    13. Tom Brijs & Frederik Geth & Sauleh Siddiqui & Benjamin F. Hobbs & Ronnie Belmans, 2016. "Price-Based Unit Commitment Electricity Storage Arbitrage with Piecewise Linear Price-Effects," Discussion Papers of DIW Berlin 1567, DIW Berlin, German Institute for Economic Research.
    14. Denholm, Paul & Hand, Maureen, 2011. "Grid flexibility and storage required to achieve very high penetration of variable renewable electricity," Energy Policy, Elsevier, vol. 39(3), pages 1817-1830, March.
    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. Arslan Ahmad Bashir & Andreas Lund & Mahdi Pourakbari-Kasmaei & Matti Lehtonen, 2021. "Optimizing Power and Heat Sector Coupling for the Implementation of Carbon-Free Communities," Energies, MDPI, vol. 14(7), pages 1-20, March.
    2. Dranka, Géremi Gilson & Ferreira, Paula, 2018. "Planning for a renewable future in the Brazilian power system," Energy, Elsevier, vol. 164(C), pages 496-511.
    3. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "State-of-the-art generation expansion planning: A review," Applied Energy, Elsevier, vol. 230(C), pages 563-589.
    4. Panos, Evangelos & Kober, Tom & Wokaun, Alexander, 2019. "Long term evaluation of electric storage technologies vs alternative flexibility options for the Swiss energy system," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    5. Casimir Lorenz, 2017. "Balancing Reserves within a Decarbonized European Electricity System in 2050: From Market Developments to Model Insights," Discussion Papers of DIW Berlin 1656, DIW Berlin, German Institute for Economic Research.
    6. Sergio Bruno & Maria Dicorato & Massimo La Scala & Roberto Sbrizzai & Pio Alessandro Lombardi & Bartlomiej Arendarski, 2019. "Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy System," Energies, MDPI, vol. 12(17), pages 1-16, September.

    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. Zerrahn, Alexander & Schill, Wolf-Peter, 2017. "Long-run power storage requirements for high shares of renewables: review and a new model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1518-1534.
    2. Haas, J. & Cebulla, F. & Cao, K. & Nowak, W. & Palma-Behnke, R. & Rahmann, C. & Mancarella, P., 2017. "Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 603-619.
    3. Javier L'opez Prol & Wolf-Peter Schill, 2020. "The Economics of Variable Renewables and Electricity Storage," Papers 2012.15371, arXiv.org.
    4. Blanco, Herib & Faaij, André, 2018. "A review at the role of storage in energy systems with a focus on Power to Gas and long-term storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1049-1086.
    5. Gerbaulet, Clemens & von Hirschhausen, Christian & Kemfert, Claudia & Lorenz, Casimir & Oei, Pao-Yu, 2019. "European electricity sector decarbonization under different levels of foresight," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141, pages 973-987.
    6. Zerrahn, Alexander & Schill, Wolf-Peter & Kemfert, Claudia, 2018. "On the economics of electrical storage for variable renewable energy sources," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 108, pages 259-279.
    7. Nayak-Luke, Richard & Bañares-Alcántara, René & Collier, Sam, 2021. "Quantifying network flexibility requirements in terms of energy storage," Renewable Energy, Elsevier, vol. 167(C), pages 869-882.
    8. Lukas Wienholt & Ulf Philipp Müller & Julian Bartels, 2018. "Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model," Energies, MDPI, vol. 11(12), pages 1-17, December.
    9. Niina Helistö & Juha Kiviluoma & Hannele Holttinen & Jose Daniel Lara & Bri‐Mathias Hodge, 2019. "Including operational aspects in the planning of power systems with large amounts of variable generation: A review of modeling approaches," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(5), September.
    10. 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.
    11. Hartner, Michael & Permoser, Andreas, 2018. "Through the valley: The impact of PV penetration levels on price volatility and resulting revenues for storage plants," Renewable Energy, Elsevier, vol. 115(C), pages 1184-1195.
    12. Strübing, Dietmar & Moeller, Andreas B. & Mößnang, Bettina & Lebuhn, Michael & Drewes, Jörg E. & Koch, Konrad, 2018. "Anaerobic thermophilic trickle bed reactor as a promising technology for flexible and demand-oriented H2/CO2 biomethanation," Applied Energy, Elsevier, vol. 232(C), pages 543-554.
    13. 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.
    14. Hilbers, Adriaan P. & Brayshaw, David J. & Gandy, Axel, 2019. "Importance subsampling: improving power system planning under climate-based uncertainty," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    15. Heggarty, Thomas & Bourmaud, Jean-Yves & Girard, Robin & Kariniotakis, Georges, 2020. "Quantifying power system flexibility provision," Applied Energy, Elsevier, vol. 279(C).
    16. Cebulla, F. & Fichter, T., 2017. "Merit order or unit-commitment: How does thermal power plant modeling affect storage demand in energy system models?," Renewable Energy, Elsevier, vol. 105(C), pages 117-132.
    17. Henni, Sarah & Schäffer, Michael & Fischer, Peter & Weinhardt, Christof & Staudt, Philipp, 2023. "Bottom-up system modeling of battery storage requirements for integrated renewable energy systems," Applied Energy, Elsevier, vol. 333(C).
    18. Kraan, Oscar & Kramer, Gert Jan & Nikolic, Igor & Chappin, Emile & Koning, Vinzenz, 2019. "Why fully liberalised electricity markets will fail to meet deep decarbonisation targets even with strong carbon pricing," Energy Policy, Elsevier, vol. 131(C), pages 99-110.
    19. Pleßmann, Guido & Blechinger, Philipp, 2017. "Outlook on South-East European power system until 2050: Least-cost decarbonization pathway meeting EU mitigation targets," Energy, Elsevier, vol. 137(C), pages 1041-1053.
    20. Adeoye, Omotola & Spataru, Catalina, 2020. "Quantifying the integration of renewable energy sources in West Africa's interconnected electricity network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).

    More about this item

    Keywords

    Electricity storage; renewable energy; power system flexibility; long-term power system planning; short-term power system operation;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:diw:diwwpp:dp1624. 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: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/diwbede.html .

    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.