IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i9p2309-d354563.html
   My bibliography  Save this article

A Quantitative Study on the Requirement for Additional Inertia in the European Power System until 2050 and the Potential Role of Wind Power

Author

Listed:
  • Christos Agathokleous

    (Department of Electrical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

  • Jimmy Ehnberg

    (Department of Electrical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

Abstract

A significant amount of conventional power plants in the European power system is anticipated to be replaced by solar and wind power in the future. This may require alternative sources for inertia support. The purpose of the paper is to learn about the consequences on the frequency deviation after a fault in the European power system when more wind and solar are introduced and when wind is considered as a possible provider of inertia. This study quantifies the expected maximum requirement for additional inertia in the future European power system up to 2050. Furthermore, we investigated the possibility of wind power to meet this additional need by providing emulated inertia. The European power system of the EU-28 countries has been clustered to the five synchronous grids, UCTE, Nordic, UK, Baltic and Irish. The future European energy mix is simulated considering twelve different scenarios. Production units are dispatched according to their expected environmental impacts, which closely follow the minimum natural contribution of inertia, in descending order. The available capacity for all the types of production is considered the same as the installed. For all the simulated scenarios the worst case is examined, which means that a sudden disconnection of the largest production unit of the dispatched types is considered. Case study results reveal that, in most cases, additional inertia will be required but wind power may fully cover this need for up to 84% of all simulated horizons among all the scenarios on the UCTE grid, and for up to 98%, 86%, 99% and 86% on the Nordic, UK, Baltic and Irish grids, respectively.

Suggested Citation

  • Christos Agathokleous & Jimmy Ehnberg, 2020. "A Quantitative Study on the Requirement for Additional Inertia in the European Power System until 2050 and the Potential Role of Wind Power," Energies, MDPI, vol. 13(9), pages 1-14, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2309-:d:354563
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/9/2309/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/9/2309/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Johnson, Samuel C. & Papageorgiou, Dimitri J. & Mallapragada, Dharik S. & Deetjen, Thomas A. & Rhodes, Joshua D. & Webber, Michael E., 2019. "Evaluating rotational inertia as a component of grid reliability with high penetrations of variable renewable energy," Energy, Elsevier, vol. 180(C), pages 258-271.
    2. Gondia Sokhna Seck & Vincent Krakowski & Edi Assoumou & Nadia Maïzi & Vincent Mazauric, 2020. "Embedding power system's reliability within a long-term Energy System Optimization Model: Linking high renewable energy integration and future grid stability for France by 2050," Post-Print hal-02418375, HAL.
    3. van Zuijlen, Bas & Zappa, William & Turkenburg, Wim & van der Schrier, Gerard & van den Broek, Machteld, 2019. "Cost-optimal reliable power generation in a deep decarbonisation future," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    4. Nycander, Elis & Söder, Lennart & Olauson, Jon & Eriksson, Robert, 2020. "Curtailment analysis for the Nordic power system considering transmission capacity, inertia limits and generation flexibility," Renewable Energy, Elsevier, vol. 152(C), pages 942-960.
    5. Fernández-Guillamón, Ana & Gómez-Lázaro, Emilio & Muljadi, Eduard & Molina-García, Ángel, 2019. "Power systems with high renewable energy sources: A review of inertia and frequency control strategies over time," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    6. Seck, Gondia Sokhna & Krakowski, Vincent & Assoumou, Edi & Maïzi, Nadia & Mazauric, Vincent, 2020. "Embedding power system’s reliability within a long-term Energy System Optimization Model: Linking high renewable energy integration and future grid stability for France by 2050," Applied Energy, Elsevier, vol. 257(C).
    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. Ninoslav Holjevac & Tomislav Baškarad & Josip Đaković & Matej Krpan & Matija Zidar & Igor Kuzle, 2021. "Challenges of High Renewable Energy Sources Integration in Power Systems—The Case of Croatia," Energies, MDPI, vol. 14(4), pages 1-20, February.
    2. Curto, Domenico & Favuzza, Salvatore & Franzitta, Vincenzo & Guercio, Andrea & Amparo Navarro Navia, Milagros & Telaretti, Enrico & Zizzo, Gaetano, 2022. "Grid Stability Improvement Using Synthetic Inertia by Battery Energy Storage Systems in Small Islands," Energy, Elsevier, vol. 254(PC).
    3. Katarzyna Chudy-Laskowska & Tomasz Pisula, 2022. "An Analysis of the Use of Energy from Conventional Fossil Fuels and Green Renewable Energy in the Context of the European Union’s Planned Energy Transformation," Energies, MDPI, vol. 15(19), pages 1-23, October.
    4. Alija Mujcinagic & Mirza Kusljugic & Emir Nukic, 2020. "Wind Inertial Response Based on the Center of Inertia Frequency of a Control Area," Energies, MDPI, vol. 13(23), pages 1-17, November.

    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. Pampa Sinha & Kaushik Paul & Sanchari Deb & Sulabh Sachan, 2023. "Comprehensive Review Based on the Impact of Integrating Electric Vehicle and Renewable Energy Sources to the Grid," Energies, MDPI, vol. 16(6), pages 1-39, March.
    2. Nikita Belyak & Steven A. Gabriel & Nikolay Khabarov & Fabricio Oliveira, 2023. "Renewable Energy Expansion under Taxes and Subsidies: A Transmission Operator's Perspective," Papers 2302.10562, arXiv.org, revised Apr 2024.
    3. Helistö, Niina & Kiviluoma, Juha & Morales-España, Germán & O’Dwyer, Ciara, 2021. "Impact of operational details and temporal representations on investment planning in energy systems dominated by wind and solar," Applied Energy, Elsevier, vol. 290(C).
    4. Machado, Renato Haddad Simões & Rego, Erik Eduardo & Udaeta, Miguel Edgar Morales & Nascimento, Viviane Tavares, 2022. "Estimating the adequacy revenue considering long-term reliability in a renewable power system," Energy, Elsevier, vol. 243(C).
    5. Gul, Eid & Baldinelli, Giorgio & Bartocci, Pietro & Shamim, Tariq & Domenighini, Piergiovanni & Cotana, Franco & Wang, Jinwen & Fantozzi, Francesco & Bianchi, Francesco, 2023. "Transition toward net zero emissions - Integration and optimization of renewable energy sources: Solar, hydro, and biomass with the local grid station in central Italy," Renewable Energy, Elsevier, vol. 207(C), pages 672-686.
    6. Fernandez Vazquez, Carlos A.A. & Vansighen, Thomas & Fernandez Fuentes, Miguel H. & Quoilin, Sylvain, 2024. "Energy transition implications for Bolivia. Long-term modelling with short-term assessment of future scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    7. Brumana, Giovanni & Franchini, Giuseppe & Ghirardi, Elisa & Perdichizzi, Antonio, 2022. "Techno-economic optimization of hybrid power generation systems: A renewables community case study," Energy, Elsevier, vol. 246(C).
    8. Gonzalez-Moreno, A. & Marcos, J. & de la Parra, I. & Marroyo, L., 2022. "A PV ramp-rate control strategy to extend battery lifespan using forecasting," Applied Energy, Elsevier, vol. 323(C).
    9. Pietzcker, Robert C. & Osorio, Sebastian & Rodrigues, Renato, 2021. "Tightening EU ETS targets in line with the European Green Deal: Impacts on the decarbonization of the EU power sector," Applied Energy, Elsevier, vol. 293(C).
    10. Loisel, Rodica & Lemiale, Lionel & Mima, Silvana & Bidaud, Adrien, 2022. "Strategies for short-term intermittency in long-term prospective scenarios in the French power system," Energy Policy, Elsevier, vol. 169(C).
    11. Groissböck, Markus & Gusmão, Alexandre, 2020. "Impact of renewable resource quality on security of supply with high shares of renewable energies," Applied Energy, Elsevier, vol. 277(C).
    12. Thimet, P.J. & Mavromatidis, G., 2022. "Review of model-based electricity system transition scenarios: An analysis for Switzerland, Germany, France, and Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    13. Laha, Priyanka & Chakraborty, Basab, 2021. "Cost optimal combinations of storage technologies for maximizing renewable integration in Indian power system by 2040: Multi-region approach," Renewable Energy, Elsevier, vol. 179(C), pages 233-247.
    14. Fan, Jing-Li & Huang, Xi & Shi, Jie & Li, Kai & Cai, Jingwen & Zhang, Xian, 2023. "Complementary potential of wind-solar-hydro power in Chinese provinces: Based on a high temporal resolution multi-objective optimization model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    15. Wilson Pavon & Manuel Jaramillo & Juan C. Vasquez, 2023. "A Review of Modern Computational Techniques and Their Role in Power System Stability and Control," Energies, MDPI, vol. 17(1), pages 1-17, December.
    16. Wang, Tianjing & Tang, Yong, 2022. "Transfer-Reinforcement-Learning-Based rescheduling of differential power grids considering security constraints," Applied Energy, Elsevier, vol. 306(PB).
    17. He, Xinran & Ding, Tao & Zhang, Xiaosheng & Huang, Yuhan & Li, Li & Zhang, Qinglei & Li, Fangxing, 2023. "A robust reliability evaluation model with sequential acceleration method for power systems considering renewable energy temporal-spatial correlation," Applied Energy, Elsevier, vol. 340(C).
    18. Xing, Wei & Wang, Hewu & Lu, Languang & Han, Xuebing & Sun, Kai & Ouyang, Minggao, 2021. "An adaptive virtual inertia control strategy for distributed battery energy storage system in microgrids," Energy, Elsevier, vol. 233(C).
    19. Connor Scott & Mominul Ahsan & Alhussein Albarbar, 2021. "Machine Learning Based Vehicle to Grid Strategy for Improving the Energy Performance of Public Buildings," Sustainability, MDPI, vol. 13(7), pages 1-22, April.
    20. Oskouei, Morteza Zare & Mohammadi-Ivatloo, Behnam & Abapour, Mehdi & Shafiee, Mahmood & Anvari-Moghaddam, Amjad, 2021. "Privacy-preserving mechanism for collaborative operation of high-renewable power systems and industrial energy hubs," Applied Energy, Elsevier, vol. 283(C).

    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:9:p:2309-:d:354563. 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.