IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i16p6017-d1218815.html
   My bibliography  Save this article

Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System

Author

Listed:
  • Pablo L. Tabosa da Silva

    (Department of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, Brazil)

  • Pedro A. Carvalho Rosas

    (Department of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, Brazil)

  • José F. C. Castro

    (Department of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, Brazil)

  • Davidson da Costa Marques

    (Department of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, Brazil)

  • Ronaldo R. B. Aquino

    (Department of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, Brazil)

  • Guilherme F. Rissi

    (CPFL Energy, Campinas 13087-397, SP, Brazil)

  • Rafael C. Neto

    (Department of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, Brazil)

  • Douglas C. P. Barbosa

    (Department of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, Brazil)

Abstract

This work discusses the use of a battery energy storage system applied to the smoothing of power generated at the output of wind turbines based on a fuzzy logic power control. The fuzzy control logic proposed can perform the aforementioned activity while the state of charge of the energy storage system is maintained within operational limits. In order to assess the fuzzy logic power control’s effectiveness at maintaining the state of charge levels within the allowed range, two operating situations are explored: one in which the state of charge is above the upper limit allowed, and another in which the state of charge is in the minimum value allowed. The numerical results show that, when using the battery energy storage system in conjunction with the control logic proposed, the active power provided as the point of common coupling by the wind turbines can be smoothed, thus contributing to the Electric Power System reliability and stability. The main results of this paper are based on measurements of wind and active power associated with a wind generation plant installed in the northeast region of Brazil and equipped with 2.1 MW wind turbines.

Suggested Citation

  • Pablo L. Tabosa da Silva & Pedro A. Carvalho Rosas & José F. C. Castro & Davidson da Costa Marques & Ronaldo R. B. Aquino & Guilherme F. Rissi & Rafael C. Neto & Douglas C. P. Barbosa, 2023. "Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System," Energies, MDPI, vol. 16(16), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:6017-:d:1218815
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/16/6017/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/16/6017/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Luana Pontes & Tatiane Costa & Amanda Souza & Nicolau Dantas & Andrea Vasconcelos & Guilherme Rissi & Roberto Dias & Mohamed A. Mohamed & Pierluigi Siano & Manoel Marinho, 2023. "Operational Data Analysis of a Battery Energy Storage System to Support Wind Energy Generation," Energies, MDPI, vol. 16(3), pages 1-20, February.
    2. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    3. Jun Deng & Zhenghao Qi & Nan Xia & Tong Gao & Yang Zhang & Jiandong Duan, 2022. "Control Strategy and Parameter Optimization Based on Grid Side Current Dynamic Change Rate for Doubly-Fed Wind Turbine High Voltage Ride Through," Energies, MDPI, vol. 15(21), pages 1-19, October.
    4. Ines Würth & Laura Valldecabres & Elliot Simon & Corinna Möhrlen & Bahri Uzunoğlu & Ciaran Gilbert & Gregor Giebel & David Schlipf & Anton Kaifel, 2019. "Minute-Scale Forecasting of Wind Power—Results from the Collaborative Workshop of IEA Wind Task 32 and 36," Energies, MDPI, vol. 12(4), pages 1-30, February.
    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. Zhe Chai & Yihan Zhang & Lanyi Wei & Junhui Liu & Yao Lu & Chunzheng Tian & Zhaoyuan Wu, 2024. "Value Evaluation Model of Multi-Temporal Energy Storage for Flexibility Provision in Microgrids," Energies, MDPI, vol. 17(9), pages 1-16, April.
    2. Henok Ayele Behabtu & Majid Vafaeipour & Abraham Alem Kebede & Maitane Berecibar & Joeri Van Mierlo & Kinde Anlay Fante & Maarten Messagie & Thierry Coosemans, 2023. "Smoothing Intermittent Output Power in Grid-Connected Doubly Fed Induction Generator Wind Turbines with Li-Ion Batteries," Energies, MDPI, vol. 16(22), pages 1-37, 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. Yasemin Merzifonluoglu & Eray Uzgoren, 2018. "Photovoltaic power plant design considering multiple uncertainties and risk," Annals of Operations Research, Springer, vol. 262(1), pages 153-184, March.
    2. Chen, Long Xiang & Xie, Mei Na & Zhao, Pan Pan & Wang, Feng Xiang & Hu, Peng & Wang, Dong Xiang, 2018. "A novel isobaric adiabatic compressed air energy storage (IA-CAES) system on the base of volatile fluid," Applied Energy, Elsevier, vol. 210(C), pages 198-210.
    3. Miguel J. Prieto & Juan Á. Martínez & Rogelio Peón & Lourdes Á. Barcia & Fernando Nuño, 2017. "On the Convenience of Using Simulation Models to Optimize the Control Strategy of Molten-Salt Heat Storage Systems in Solar Thermal Power Plants," Energies, MDPI, vol. 10(7), pages 1-17, July.
    4. Wang, Longyi & Wu, Mei & Sun, Xiao & Gan, Zhihua, 2016. "A cascade pulse tube cooler capable of energy recovery," Applied Energy, Elsevier, vol. 164(C), pages 572-578.
    5. Majumder, Suman & De, Krishnarti & Kumar, Praveen & Sengupta, Bodhisattva & Biswas, Pabitra Kumar, 2021. "Techno-commercial analysis of sustainable E-bus-based public transit systems: An Indian case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    6. Cheayb, Mohamad & Marin Gallego, Mylène & Tazerout, Mohand & Poncet, Sébastien, 2022. "A techno-economic analysis of small-scale trigenerative compressed air energy storage system," Energy, Elsevier, vol. 239(PA).
    7. Ziad Ragab & Ehsan Pashajavid & Sumedha Rajakaruna, 2024. "Optimal Sizing and Economic Analysis of Community Battery Systems Considering Sensitivity and Uncertainty Factors," Energies, MDPI, vol. 17(18), pages 1-20, September.
    8. Andoni, Merlinda & Robu, Valentin & Flynn, David & Abram, Simone & Geach, Dale & Jenkins, David & McCallum, Peter & Peacock, Andrew, 2019. "Blockchain technology in the energy sector: A systematic review of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 143-174.
    9. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    10. Javed, Muhammad Shahzad & Ma, Tao & Jurasz, Jakub & Canales, Fausto A. & Lin, Shaoquan & Ahmed, Salman & Zhang, Yijie, 2021. "Economic analysis and optimization of a renewable energy based power supply system with different energy storages for a remote island," Renewable Energy, Elsevier, vol. 164(C), pages 1376-1394.
    11. Qiu, Rui & Zhang, Haoran & Wang, Guotao & Liang, Yongtu & Yan, Jinyue, 2023. "Green hydrogen-based energy storage service via power-to-gas technologies integrated with multi-energy microgrid," Applied Energy, Elsevier, vol. 350(C).
    12. Chen, Yang & Odukomaiya, Adewale & Kassaee, Saiid & O’Connor, Patrick & Momen, Ayyoub M. & Liu, Xiaobing & Smith, Brennan T., 2019. "Preliminary analysis of market potential for a hydropneumatic ground-level integrated diverse energy storage system," Applied Energy, Elsevier, vol. 242(C), pages 1237-1247.
    13. Georgiou, Giorgos S. & Christodoulides, Paul & Kalogirou, Soteris A., 2019. "Real-time energy convex optimization, via electrical storage, in buildings – A review," Renewable Energy, Elsevier, vol. 139(C), pages 1355-1365.
    14. Sherif A. Zaid & Ahmed M. Kassem & Aadel M. Alatwi & Hani Albalawi & Hossam AbdelMeguid & Atef Elemary, 2023. "Optimal Control of an Autonomous Microgrid Integrated with Super Magnetic Energy Storage Using an Artificial Bee Colony Algorithm," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    15. Dib, Ghady & Haberschill, Philippe & Rullière, Romuald & Revellin, Rémi, 2021. "Modelling small-scale trigenerative advanced adiabatic compressed air energy storage for building application," Energy, Elsevier, vol. 237(C).
    16. Chen, Hao & Wang, Huanran & Li, Ruixiong & Sun, Hao & Ge, Gangqiang & Ling, Lanning, 2022. "Experimental and analytical investigation of near-isothermal pumped hydro-compressed air energy storage system," Energy, Elsevier, vol. 249(C).
    17. Guo, Cong & Xu, Yujie & Zhang, Xinjing & Guo, Huan & Zhou, Xuezhi & Liu, Chang & Qin, Wei & Li, Wen & Dou, Binlin & Chen, Haisheng, 2017. "Performance analysis of compressed air energy storage systems considering dynamic characteristics of compressed air storage," Energy, Elsevier, vol. 135(C), pages 876-888.
    18. Hanak, Dawid P. & Powell, Dante & Manovic, Vasilije, 2017. "Techno-economic analysis of oxy-combustion coal-fired power plant with cryogenic oxygen storage," Applied Energy, Elsevier, vol. 191(C), pages 193-203.
    19. Alexandru Ciocan & Cosmin Ungureanu & Alin Chitu & Elena Carcadea & George Darie, 2020. "Electrical Longboard for Everyday Urban Commuting," Sustainability, MDPI, vol. 12(19), pages 1-14, September.
    20. Ameen, Muhammad Tahir & Ma, Zhiwei & Smallbone, Andrew & Norman, Rose & Roskilly, Anthony Paul, 2023. "Demonstration system of pumped heat energy storage (PHES) and its round-trip efficiency," Applied Energy, Elsevier, vol. 333(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:16:y:2023:i:16:p:6017-:d:1218815. 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.