IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i7p1588-d339754.html
   My bibliography  Save this article

Determining the Load Inertia Contribution from Different Power Consumer Groups

Author

Listed:
  • Henning Thiesen

    (Wind Energy Technology Institute (WETI), Flensburg University of Applied Sciences, 24943 Flensburg, Germany)

  • Clemens Jauch

    (Wind Energy Technology Institute (WETI), Flensburg University of Applied Sciences, 24943 Flensburg, Germany)

Abstract

Power system inertia is a vital part of power system stability. The inertia response within the first seconds after a power imbalance reduces the velocity of which the grid frequency changes. At present, large shares of power system inertia are provided by synchronously rotating masses of conventional power plants. A minor part of power system inertia is supplied by power consumers. The energy system transformation results in an overall decreasing amount of power system inertia. Hence, inertia has to be provided synthetically in future power systems. In depth knowledge about the amount of inertia provided by power consumers is very important for a future application of units supplying synthetic inertia. It strongly promotes the technical efficiency and cost effective application. A blackout in the city of Flensburg allows for a detailed research on the inertia contribution from power consumers. Therefore, power consumer categories are introduced and the inertia contribution is calculated for each category. Overall, the inertia constant for different power consumers is in the range of 0.09 to 4.24 s if inertia constant calculations are based on the power demand. If inertia constant calculations are based on the apparent generator power, the load inertia constant is in the range of 0.01 to 0.19 s.

Suggested Citation

  • Henning Thiesen & Clemens Jauch, 2020. "Determining the Load Inertia Contribution from Different Power Consumer Groups," Energies, MDPI, vol. 13(7), pages 1-14, April.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1588-:d:339754
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/7/1588/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/7/1588/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Henning Thiesen & Clemens Jauch & Arne Gloe, 2016. "Design of a System Substituting Today’s Inherent Inertia in the European Continental Synchronous Area," Energies, MDPI, vol. 9(8), pages 1-12, July.
    2. Tielens, Pieter & Van Hertem, Dirk, 2016. "The relevance of inertia in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 999-1009.
    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. Arne Gloe & Clemens Jauch & Thomas Räther, 2021. "Grid Support with Wind Turbines: The Case of the 2019 Blackout in Flensburg," Energies, MDPI, vol. 14(6), pages 1-20, March.
    2. Henning Thiesen & Clemens Jauch, 2021. "Application of a New Dispatch Methodology to Identify the Influence of Inertia Supplying Wind Turbines on Day-Ahead Market Sales Volumes," Energies, MDPI, vol. 14(5), pages 1-19, February.
    3. Carlos Fuentes & Hector Chavez & Mario R. Arrieta Paternina, 2021. "Predictive Control-Based NADIR-Minimizing Algorithm for Solid-State Transformer," Energies, MDPI, vol. 15(1), pages 1-18, December.
    4. Cheng Chi & Hai Zhao & Jiahang Han, 2022. "Study on Quantitative Evaluation Index of Power System Frequency Response Capability," Energies, MDPI, vol. 15(24), pages 1-13, 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. 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).
    2. 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.
    3. Henning Thiesen & Clemens Jauch, 2021. "Application of a New Dispatch Methodology to Identify the Influence of Inertia Supplying Wind Turbines on Day-Ahead Market Sales Volumes," Energies, MDPI, vol. 14(5), pages 1-19, February.
    4. Andrey Rylov & Pavel Ilyushin & Aleksandr Kulikov & Konstantin Suslov, 2021. "Testing Photovoltaic Power Plants for Participation in General Primary Frequency Control under Various Topology and Operating Conditions," Energies, MDPI, vol. 14(16), pages 1-20, August.
    5. Cabrera-Tobar, Ana & Bullich-Massagué, Eduard & Aragüés-Peñalba, Mònica & Gomis-Bellmunt, Oriol, 2016. "Review of advanced grid requirements for the integration of large scale photovoltaic power plants in the transmission system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 971-987.
    6. Guerra, K. & Haro, P. & Gutiérrez, R.E. & Gómez-Barea, A., 2022. "Facing the high share of variable renewable energy in the power system: Flexibility and stability requirements," Applied Energy, Elsevier, vol. 310(C).
    7. Pablo González-Inostroza & Claudia Rahmann & Ricardo Álvarez & Jannik Haas & Wolfgang Nowak & Christian Rehtanz, 2021. "The Role of Fast Frequency Response of Energy Storage Systems and Renewables for Ensuring Frequency Stability in Future Low-Inertia Power Systems," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    8. Bogdanov, Dmitrii & Toktarova, Alla & Breyer, Christian, 2019. "Transition towards 100% renewable power and heat supply for energy intensive economies and severe continental climate conditions: Case for Kazakhstan," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Daniele Linaro & Federico Bizzarri & Davide Giudice & Cosimo Pisani & Giorgio M. Giannuzzi & Samuele Grillo & Angelo M. Brambilla, 2023. "Continuous estimation of power system inertia using convolutional neural networks," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    10. Albert Poulose & Soobae Kim, 2023. "Transient Stability Analysis and Enhancement Techniques of Renewable-Rich Power Grids," Energies, MDPI, vol. 16(5), pages 1-30, March.
    11. Kanwal, S. & Khan, B. & Ali, S.M. & Mehmood, C.A., 2018. "Gaussian process regression based inertia emulation and reserve estimation for grid interfaced photovoltaic system," Renewable Energy, Elsevier, vol. 126(C), pages 865-875.
    12. Abhimanyu Kaushal & Dirk Van Hertem, 2019. "An Overview of Ancillary Services and HVDC Systems in European Context," Energies, MDPI, vol. 12(18), pages 1-20, September.
    13. Eleftherios Vlahakis & Leonidas Dritsas & George Halikias, 2019. "Distributed LQR Design for a Class of Large-Scale Multi-Area Power Systems," Energies, MDPI, vol. 12(14), pages 1-28, July.
    14. Florian Errigo & Leandro De Oliveira Porto & Florent Morel, 2022. "Design Methodology Based on Prebuilt Components for Modular Multilevel Converters with Partial Integration of Energy Storage Systems," Energies, MDPI, vol. 15(14), pages 1-18, July.
    15. Junfeng Qi & Fei Tang & Jiarui Xie & Xinang Li & Xiaoqing Wei & Zhuo Liu, 2022. "Research on Frequency Response Modeling and Frequency Modulation Parameters of the Power System Highly Penetrated by Wind Power," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    16. Yingying Jiang & Xiaolin Chen & Sui Peng & Xiao Du & Dan Xu & Junjie Tang & Wenyuan Li, 2019. "Study on Emergency Load Shedding of Hybrid AC/DC Receiving-End Power Grid with Stochastic, Static Characteristics-Dependent Load Model," Energies, MDPI, vol. 12(20), pages 1-20, October.
    17. Homan, Samuel & Mac Dowell, Niall & Brown, Solomon, 2021. "Grid frequency volatility in future low inertia scenarios: Challenges and mitigation options," Applied Energy, Elsevier, vol. 290(C).
    18. Mariano G. Ippolito & Rossano Musca & Gaetano Zizzo, 2021. "Analysis and Simulations of the Primary Frequency Control during a System Split in Continental Europe Power System," Energies, MDPI, vol. 14(5), pages 1-22, March.
    19. Rouzbehi, Kumars & Candela, J. Ignacio & Gharehpetian, Gevork B. & Harnefors, Lennart & Luna, Alvaro & Rodriguez, Pedro, 2017. "Multiterminal DC grids: Operating analogies to AC power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 886-895.
    20. Feng Wang & Lizheng Sun & Zhang Wen & Fang Zhuo, 2022. "Overview of Inertia Enhancement Methods in DC System," Energies, MDPI, vol. 15(18), pages 1-25, September.

    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:7:p:1588-:d:339754. 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.