IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v365y2024ics0306261924006123.html
   My bibliography  Save this article

Hierarchical control strategy of wind-storage frequency support for SOC recovery optimization and arbitrage revenue

Author

Listed:
  • Pei, Ming
  • Wang, Qiheng
  • Ye, Lin
  • Luo, Yadi
  • Sha, Licheng
  • Zhang, Zaichi
  • Song, Xuri

Abstract

With the continuous increase in the penetration rate of renewable energy, the frequency stability of the power system is gradually declining. Hence, this paper proposes a hierarchical coordinated control strategy of the wind farm (WF) and the battery energy storage system (BESS) to provide frequency support. The strategy includes the upper-layer frequency regulation (FR) optimization strategy and the lower-layer state of charge (SOC) recovery optimization strategy. At first, the upper-layer control strategy uses model predictive control (MPC) to allocate power commands to the WF and BESS, enabling them to provide coordinated frequency support while fully utilizing the WF's reserve capacity. Then, it transfers the information of SOC changes to the lower-layer. Subsequently, the lower-layer control strategy converts the changes of SOC into charging and discharging commands within specific time domains to restore the SOC of the BESS and generate arbitrage income. This layer minimizes the power purchase cost and the depth of discharge (DOD), optimizing the SOC recovery process. Finally, the strategy's effectiveness is verified using an IEEE 9-bus system and an IEEE 39-bus system. Numerical results demonstrate that the proposed strategy reduces the maximum frequency deviation (MFD) by 8.75%–9.20% and increases total revenue by 12.68%–19.16% in the IEEE 9-bus system, and the strategy can reduce the MFD by 4.00%–6.14% and increase total revenue by 19.62%–28.74% in the IEEE 39-bus system compared with other FR control strategies. Moreover, the strategy enables the SOC to return to its initial value along an optimized path.

Suggested Citation

  • Pei, Ming & Wang, Qiheng & Ye, Lin & Luo, Yadi & Sha, Licheng & Zhang, Zaichi & Song, Xuri, 2024. "Hierarchical control strategy of wind-storage frequency support for SOC recovery optimization and arbitrage revenue," Applied Energy, Elsevier, vol. 365(C).
  • Handle: RePEc:eee:appene:v:365:y:2024:i:c:s0306261924006123
    DOI: 10.1016/j.apenergy.2024.123229
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924006123
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.123229?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Guannan He & Qixin Chen & Panayiotis Moutis & Soummya Kar & Jay F. Whitacre, 2018. "An intertemporal decision framework for electrochemical energy storage management," Nature Energy, Nature, vol. 3(5), pages 404-412, May.
    2. Wang, Kaifeng & Ye, Lin & Yang, Shihui & Deng, Zhanfeng & Song, Jieying & Li, Zhuo & Zhao, Yongning, 2023. "A hierarchical dispatch strategy of hybrid energy storage system in internet data center with model predictive control," Applied Energy, Elsevier, vol. 331(C).
    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. Kim, James Hyungkwan & Kahrl, Fredrich & Mills, Andrew & Wiser, Ryan & Montañés, Cristina Crespo & Gorman, Will, 2023. "Economic evaluation of variable renewable energy participation in U.S. ancillary services markets," Utilities Policy, Elsevier, vol. 82(C).
    2. Lavin, Luke & Apt, Jay, 2021. "The importance of peak pricing in realizing system benefits from distributed storage," Energy Policy, Elsevier, vol. 157(C).
    3. Beuse, Martin & Dirksmeier, Mathias & Steffen, Bjarne & Schmidt, Tobias S., 2020. "Profitability of commercial and industrial photovoltaics and battery projects in South-East-Asia," Applied Energy, Elsevier, vol. 271(C).
    4. Koh, S.C.L. & Smith, L. & Miah, J. & Astudillo, D. & Eufrasio, R.M. & Gladwin, D. & Brown, S. & Stone, D., 2021. "Higher 2nd life Lithium Titanate battery content in hybrid energy storage systems lowers environmental-economic impact and balances eco-efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    5. Kim, James Hyungkwan & Mills, Andrew D. & Wiser, Ryan & Bolinger, Mark & Gorman, Will & Crespo Montañes, Cristina & O'Shaughnessy, Eric, 2021. "Project developer options to enhance the value of solar electricity as solar and storage penetrations increase," Applied Energy, Elsevier, vol. 304(C).
    6. Qiankun Chang & Yuanfeng Huang & Kaiyan Liu & Xin Xu & Yaohua Zhao & Song Pan, 2024. "Optimization Control Strategies and Evaluation Metrics of Cooling Systems in Data Centers: A Review," Sustainability, MDPI, vol. 16(16), pages 1-41, August.
    7. He, Guannan & Ciez, Rebecca & Moutis, Panayiotis & Kar, Soummya & Whitacre, Jay F., 2020. "The economic end of life of electrochemical energy storage," Applied Energy, Elsevier, vol. 273(C).
    8. Shen, Weijie & Zeng, Bo & Zeng, Ming, 2023. "Multi-timescale rolling optimization dispatch method for integrated energy system with hybrid energy storage system," Energy, Elsevier, vol. 283(C).
    9. Ye, Lin & Jin, Yifei & Wang, Kaifeng & Chen, Wei & Wang, Fei & Dai, Binhua, 2023. "A multi-area intra-day dispatch strategy for power systems under high share of renewable energy with power support capacity assessment," Applied Energy, Elsevier, vol. 351(C).
    10. Chen, Xinjiang & Yang, Yu & Wang, Jianxiao & Song, Jie & He, Guannan, 2023. "Battery valuation and management for battery swapping station," Energy, Elsevier, vol. 279(C).
    11. Vykhodtsev, Anton V. & Jang, Darren & Wang, Qianpu & Rosehart, William & Zareipour, Hamidreza, 2022. "A review of modelling approaches to characterize lithium-ion battery energy storage systems in techno-economic analyses of power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    12. Mathews, Ian & Xu, Bolun & He, Wei & Barreto, Vanessa & Buonassisi, Tonio & Peters, Ian Marius, 2020. "Technoeconomic model of second-life batteries for utility-scale solar considering calendar and cycle aging," Applied Energy, Elsevier, vol. 269(C).
    13. Gorman, Will & Montañés, Cristina Crespo & Mills, Andrew & Kim, James Hyungkwan & Millstein, Dev & Wiser, Ryan, 2022. "Are coupled renewable-battery power plants more valuable than independently sited installations?," Energy Economics, Elsevier, vol. 107(C).
    14. Yue, Meiling & Jemei, Samir & Zerhouni, Noureddine & Gouriveau, Rafael, 2021. "Proton exchange membrane fuel cell system prognostics and decision-making: Current status and perspectives," Renewable Energy, Elsevier, vol. 179(C), pages 2277-2294.
    15. Li, Alan G. & Wang, Weizhong & West, Alan C. & Preindl, Matthias, 2022. "Health and performance diagnostics in Li-ion batteries with pulse-injection-aided machine learning," Applied Energy, Elsevier, vol. 315(C).
    16. Jura Jurčević & Ivan Pavić & Nikolina Čović & Denis Dolinar & Davor Zoričić, 2022. "Estimation of Internal Rate of Return for Battery Storage Systems with Parallel Revenue Streams: Cycle-Cost vs. Multi-Objective Optimisation Approach," Energies, MDPI, vol. 15(16), pages 1-17, August.

    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:eee:appene:v:365:y:2024:i:c:s0306261924006123. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.