IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i2p451-d1320763.html
   My bibliography  Save this article

A Review of Fast Power-Reserve Control Techniques in Grid-Connected Wind Energy Conversion Systems

Author

Listed:
  • Matheus Schramm Dall’Asta

    (Department of Electrical and Electronic Engineering, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil)

  • Telles Brunelli Lazzarin

    (Department of Electrical and Electronic Engineering, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil)

Abstract

Grid-connected power-converter-interfaced systems have been sharing the responsibility of grid generation alongside conventional synchronous generators. However, these systems lack spinning reserves, leading to a decrease in system inertia and resulting in more pronounced frequency deviations during power imbalances. Therefore, grid codes require the active involvement of wind energy conversion systems in frequency control, aiming to constrain the frequency and rate of change of frequency variations within predefined limits. This paper reviews fast power-reserve control techniques without energy storage in wind energy conversion systems that do not depend on frequency or rate of change of frequency values. The resulting effects on system frequency, energy production, mechanical loadings, and electrical loadings are assessed. The techniques are classified in the maximum-power point-tracking region according to the power function during the transient response, such as constant, speed-, time-, or mechanical power-dependent methods. Both overproduction and underproduction stages are considered. Certain techniques are tested on simulation grids that include either hydro or no-reheat steam generators, followed by a comparative analysis.

Suggested Citation

  • Matheus Schramm Dall’Asta & Telles Brunelli Lazzarin, 2024. "A Review of Fast Power-Reserve Control Techniques in Grid-Connected Wind Energy Conversion Systems," Energies, MDPI, vol. 17(2), pages 1-29, January.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:2:p:451-:d:1320763
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/2/451/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/2/451/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kumar, Dipesh & Chatterjee, Kalyan, 2016. "A review of conventional and advanced MPPT algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 957-970.
    2. Cheng, Yi & Azizipanah-Abarghooee, Rasoul & Azizi, Sadegh & Ding, Lei & Terzija, Vladimir, 2020. "Smart frequency control in low inertia energy systems based on frequency response techniques: A review," Applied Energy, Elsevier, vol. 279(C).
    3. 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.
    4. Pablo Fernández-Bustamante & Oscar Barambones & Isidro Calvo & Cristian Napole & Mohamed Derbeli, 2021. "Provision of Frequency Response from Wind Farms: A Review," Energies, MDPI, vol. 14(20), pages 1-24, October.
    5. Lasantha Meegahapola & Alfeu Sguarezi & Jack Stanley Bryant & Mingchen Gu & Eliomar R. Conde D. & Rafael B. A. Cunha, 2020. "Power System Stability with Power-Electronic Converter Interfaced Renewable Power Generation: Present Issues and Future Trends," Energies, MDPI, vol. 13(13), pages 1-35, July.
    6. Xiaoyu Deng & Ruo Mo & Pengliang Wang & Junru Chen & Dongliang Nan & Muyang Liu, 2023. "Review of RoCoF Estimation Techniques for Low-Inertia Power Systems," Energies, MDPI, vol. 16(9), pages 1-19, April.
    Full references (including those not matched with items on IDEAS)

    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. Hui Liu & Peng Wang & Teyang Zhao & Zhenggang Fan & Houlin Pan, 2022. "A Group-Based Droop Control Strategy Considering Pitch Angle Protection to Deloaded Wind Farms," Energies, MDPI, vol. 15(8), pages 1-23, April.
    2. Nikolay Nikolaev & Kiril Dimitrov & Yulian Rangelov, 2021. "A Comprehensive Review of Small-Signal Stability and Power Oscillation Damping through Photovoltaic Inverters," Energies, MDPI, vol. 14(21), pages 1-26, November.
    3. Fauzan Hanif Jufri & Jaesung Jung & Budi Sudiarto & Iwa Garniwa, 2023. "Development of Virtual Inertia Control with State-of-Charge Recovery Strategy Using Coordinated Secondary Frequency Control for Optimized Battery Capacity in Isolated Low Inertia Grid," Energies, MDPI, vol. 16(14), pages 1-22, July.
    4. Davi-Arderius, Daniel & Jamasb, Tooraj & Rosellon, Juan, 2024. "Network Operation and Constraints and the Path to Net Zero," Working Papers 8-2024, Copenhagen Business School, Department of Economics.
    5. Lafarge, Barbara & Grondel, Sébastien & Delebarre, Christophe & Curea, Octavian & Richard, Claude, 2021. "Linear electromagnetic energy harvester system embedded on a vehicle suspension: From modeling to performance analysis," Energy, Elsevier, vol. 225(C).
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. Hamid Chojaa & Aziz Derouich & Mohammed Taoussi & Seif Eddine Chehaidia & Othmane Zamzoum & Mohamed I. Mosaad & Ayman Alhejji & Mourad Yessef, 2022. "Nonlinear Control Strategies for Enhancing the Performance of DFIG-Based WECS under a Real Wind Profile," Energies, MDPI, vol. 15(18), pages 1-23, September.
    11. Davi-Arderius, Daniel & Schittekatte, Tim, 2023. "Carbon emissions impacts of operational network constraints: The case of Spain during the Covid-19 crisis," Energy Economics, Elsevier, vol. 128(C).
    12. 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.
    13. 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).
    14. 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.
    15. Dong, Zhen & Li, Zhongguo & Liang, Zhongchao & Xu, Yiqiao & Ding, Zhengtao, 2021. "Distributed neural network enhanced power generation strategy of large-scale wind power plant for power expansion," Applied Energy, Elsevier, vol. 303(C).
    16. 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.
    17. Dan Zhang & Yuan Yang & Bingjie Shen & Tao Wang & Min Cheng, 2024. "Transient Stability Assessment in Power Systems: A Spatiotemporal Graph Convolutional Network Approach with Graph Simplification," Energies, MDPI, vol. 17(20), pages 1-13, October.
    18. Memon, Mudasir Ahmed & Mekhilef, Saad & Mubin, Marizan & Aamir, Muhammad, 2018. "Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2235-2253.
    19. 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.
    20. 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.

    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:17:y:2024:i:2:p:451-:d:1320763. 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.