IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i3p1468-d1055289.html
   My bibliography  Save this article

Operational Data Analysis of a Battery Energy Storage System to Support Wind Energy Generation

Author

Listed:
  • Luana Pontes

    (Polytechnic School of Pernambuco, University of Pernambuco—UPE, Recife 50720-001, PE, Brazil
    Edson Mororó Moura Institute of Technology—ITEMM, Recife 51020-280, PE, Brazil)

  • Tatiane Costa

    (Edson Mororó Moura Institute of Technology—ITEMM, Recife 51020-280, PE, Brazil)

  • Amanda Souza

    (Edson Mororó Moura Institute of Technology—ITEMM, Recife 51020-280, PE, Brazil)

  • Nicolau Dantas

    (Edson Mororó Moura Institute of Technology—ITEMM, Recife 51020-280, PE, Brazil)

  • Andrea Vasconcelos

    (Edson Mororó Moura Institute of Technology—ITEMM, Recife 51020-280, PE, Brazil)

  • Guilherme Rissi

    (Companhia Paulista de Força e Luz—CPFL Energy, Campinas 13087-397, SP, Brazil)

  • Roberto Dias

    (Polytechnic School of Pernambuco, University of Pernambuco—UPE, Recife 50720-001, PE, Brazil)

  • Mohamed A. Mohamed

    (Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61519, Egypt)

  • Pierluigi Siano

    (Department of Management & Innovation Systems, University of Salerno, 84084 Fisciano, Italy)

  • Manoel Marinho

    (Polytechnic School of Pernambuco, University of Pernambuco—UPE, Recife 50720-001, PE, Brazil)

Abstract

The insertion of renewable sources to diversify the energy matrix is one of the alternatives for the energy transition. In this sense, Brazil is one of the largest producers of renewable energy in the world, mainly in wind generation. However, the impact of integrating intermittent sources into the system depends on their penetration level, causing problems in the electrical network. To evaluate this scenario, the present article aims to investigate the power quality problems generated by wind turbines in connection with the electrical system and how battery energy storage systems (BESS) solve or mitigate these disturbances in the network. Knowing the impacts of high generation power variability, the focus of the work is the application of power smoothing. However, results are presented for five applications (factor correction, voltage control, power factor smoothing, frequency control and time shift) that can be carried out at the studied wind farm. This article presents a real BESS, which has a capacity of 1 MW/1.29 MWh, connected in parallel to a group of wind turbines that provides a power of approximately 50.4 MW located in Brazil. In addition to presenting the system simulation in HOMER Pro software, this study validates the effectiveness of this BESS by presenting real operation data for each application.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1468-:d:1055289
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/3/1468/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/3/1468/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicolau K. L. Dantas & Amanda C. M. Souza & Andrea S. M. Vasconcelos & Washington de A. S. Junior & Guilherme Rissi & Celso Dall’Orto & Alexandre M. A. Maciel & José F. C. Castro & Yang Liu & Pedro Ro, 2022. "Impact Analysis of a Battery Energy Storage System Connected in Parallel to a Wind Farm," Energies, MDPI, vol. 15(13), pages 1-16, June.
    2. Maria Cecília Costa Lima & Luana Pereira Pontes & Andrea Sarmento Maia Vasconcelos & Washington de Araujo Silva Junior & Kunlin Wu, 2022. "Economic Aspects for Recycling of Used Lithium-Ion Batteries from Electric Vehicles," Energies, MDPI, vol. 15(6), pages 1-19, March.
    3. Washington de Araujo Silva Júnior & Andrea Vasconcelos & Ayrlw Carvalho Arcanjo & Tatiane Costa & Rafaela Nascimento & Alex Pereira & Eduardo Jatobá & José Bione Filho & Elisabete Barreto & Roberto Di, 2023. "Characterization of the Operation of a BESS with a Photovoltaic System as a Regular Source for the Auxiliary Systems of a High-Voltage Substation in Brazil," Energies, MDPI, vol. 16(2), pages 1-25, January.
    4. Zhao, Haoran & Wu, Qiuwei & Hu, Shuju & Xu, Honghua & Rasmussen, Claus Nygaard, 2015. "Review of energy storage system for wind power integration support," Applied Energy, Elsevier, vol. 137(C), pages 545-553.
    5. Rafaela Nascimento & Felipe Ramos & Aline Pinheiro & Washington de Araujo Silva Junior & Ayrlw M. C. Arcanjo & Roberto F. Dias Filho & Mohamed A. Mohamed & Manoel H. N. Marinho, 2022. "Case Study of Backup Application with Energy Storage in Microgrids," Energies, MDPI, vol. 15(24), pages 1-12, December.
    6. Manzoor Ellahi & Ghulam Abbas & Irfan Khan & Paul Mario Koola & Mashood Nasir & Ali Raza & Umar Farooq, 2019. "Recent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review," Energies, MDPI, vol. 12(22), pages 1-30, November.
    7. João Martins & Sergiu Spataru & Dezso Sera & Daniel-Ioan Stroe & Abderezak Lashab, 2019. "Comparative Study of Ramp-Rate Control Algorithms for PV with Energy Storage Systems," Energies, MDPI, vol. 12(7), pages 1-15, April.
    8. van Haaren, Rob & Morjaria, Mahesh & Fthenakis, Vasilis, 2015. "An energy storage algorithm for ramp rate control of utility scale PV (photovoltaics) plants," Energy, Elsevier, vol. 91(C), pages 894-902.
    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. Andrzej Tomczewski & Stanisław Mikulski & Adam Piotrowski & Sławomir Sowa & Krzysztof Wróbel, 2023. "Multicriteria Optimisation of the Structure of a Hybrid Power Supply System for a Single-Family Housing Estate in Poland, Taking into Account Different Electromobility Development Scenarios," Energies, MDPI, vol. 16(10), pages 1-21, May.
    2. 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.
    3. Edisson Villa-Ávila & Paul Arévalo & Roque Aguado & Danny Ochoa-Correa & Vinicio Iñiguez-Morán & Francisco Jurado & Marcos Tostado-Véliz, 2023. "Enhancing Energy Power Quality in Low-Voltage Networks Integrating Renewable Energy Generation: A Case Study in a Microgrid Laboratory," Energies, MDPI, vol. 16(14), pages 1-23, July.
    4. Mariana de Morais Cavalcanti & Tatiane Costa & Alex C. Pereira & Eduardo B. Jatobá & José Bione de Melo Filho & Elisabete Barreto & Mohamed A. Mohamed & Adrian Ilinca & Manoel H. N. Marinho, 2023. "Case Studies for Supplying the Alternating Current Auxiliary Systems of Substations with a Voltage Equal to or Higher than 230 kV," Energies, MDPI, vol. 16(14), pages 1-25, July.
    5. James J. H. Liou & Peace Y. L. Liu & Sun-Weng Huang, 2023. "A Hybrid Model to Explore the Barriers to Enterprise Energy Storage System Adoption," Mathematics, MDPI, vol. 11(19), pages 1-21, October.

    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. Abebe Tilahun Tadie & Zhizhong Guo & Ying Xu, 2022. "Hybrid Model-Based BESS Sizing and Control for Wind Energy Ramp Rate Control," Energies, MDPI, vol. 15(23), pages 1-17, December.
    2. Valentin Silvera Diaz & Daniel Augusto Cantane & André Quites Ordovás Santos & Oswaldo Hideo Ando Junior, 2021. "Comparative Analysis of Degradation Assessment of Battery Energy Storage Systems in PV Smoothing Application," Energies, MDPI, vol. 14(12), pages 1-16, June.
    3. Antonio Venancio M. L. Filho & Andrea S. M. Vasconcelos & Washington de A. S. Junior & Nicolau K. L. Dantas & Ayrlw Maynyson C. Arcanjo & Amanda C. M. Souza & Amanda L. Fernandes & Kaihang Zhang & Kun, 2023. "Impact Analysis and Energy Quality of Photovoltaic, Electric Vehicle and BESS Lead-Carbon Recharge Station in Brazil," Energies, MDPI, vol. 16(5), pages 1-18, March.
    4. Gui, Yonghao & Wei, Baoze & Li, Mingshen & Guerrero, Josep M. & Vasquez, Juan C., 2018. "Passivity-based coordinated control for islanded AC microgrid," Applied Energy, Elsevier, vol. 229(C), pages 551-561.
    5. Cheng, Meng & Sami, Saif Sabah & Wu, Jianzhong, 2017. "Benefits of using virtual energy storage system for power system frequency response," Applied Energy, Elsevier, vol. 194(C), pages 376-385.
    6. Muhammad Zeeshan Malik & Haoyong Chen & Muhammad Shahzad Nazir & Irfan Ahmad Khan & Ahmed N. Abdalla & Amjad Ali & Wan Chen, 2020. "A New Efficient Step-Up Boost Converter with CLD Cell for Electric Vehicle and New Energy Systems," Energies, MDPI, vol. 13(7), pages 1-14, April.
    7. Nyong-Bassey, Bassey Etim & Giaouris, Damian & Patsios, Charalampos & Papadopoulou, Simira & Papadopoulos, Athanasios I. & Walker, Sara & Voutetakis, Spyros & Seferlis, Panos & Gadoue, Shady, 2020. "Reinforcement learning based adaptive power pinch analysis for energy management of stand-alone hybrid energy storage systems considering uncertainty," Energy, Elsevier, vol. 193(C).
    8. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    9. Fichter, Tobias & Soria, Rafael & Szklo, Alexandre & Schaeffer, Roberto & Lucena, Andre F.P., 2017. "Assessing the potential role of concentrated solar power (CSP) for the northeast power system of Brazil using a detailed power system model," Energy, Elsevier, vol. 121(C), pages 695-715.
    10. Arévalo, Paul & Benavides, Dario & Tostado-Véliz, Marcos & Aguado, José A. & Jurado, Francisco, 2023. "Smart monitoring method for photovoltaic systems and failure control based on power smoothing techniques," Renewable Energy, Elsevier, vol. 205(C), pages 366-383.
    11. Vorushylo, Inna & Keatley, Patrick & Shah, Nikhilkumar & Green, Richard & Hewitt, Neil, 2018. "How heat pumps and thermal energy storage can be used to manage wind power: A study of Ireland," Energy, Elsevier, vol. 157(C), pages 539-549.
    12. Shi, Jie & Wang, Luhao & Lee, Wei-Jen & Cheng, Xingong & Zong, Xiju, 2019. "Hybrid Energy Storage System (HESS) optimization enabling very short-term wind power generation scheduling based on output feature extraction," Applied Energy, Elsevier, vol. 256(C).
    13. Segurado, R. & Madeira, J.F.A. & Costa, M. & Duić, N. & Carvalho, M.G., 2016. "Optimization of a wind powered desalination and pumped hydro storage system," Applied Energy, Elsevier, vol. 177(C), pages 487-499.
    14. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2022. "Forecasting error processing techniques and frequency domain decomposition for forecasting error compensation and renewable energy firming in hybrid systems," Applied Energy, Elsevier, vol. 313(C).
    15. Jose Miguel Riquelme-Dominguez & Jesús Riquelme & Sergio Martinez, 2022. "New Trends in the Control of Grid-Connected Photovoltaic Systems for the Provision of Ancillary Services," Energies, MDPI, vol. 15(21), pages 1-11, October.
    16. Chabok, Hossein & Aghaei, Jamshid & Sheikh, Morteza & Roustaei, Mahmoud & Zare, Mohsen & Niknam, Taher & Lehtonen, Matti & Shafi-khah, Miadreza & Catalão, João P.S., 2022. "Transmission-constrained optimal allocation of price-maker wind-storage units in electricity markets," Applied Energy, Elsevier, vol. 310(C).
    17. Zhang, Xiaochun & Ma, Chun & Song, Xia & Zhou, Yuyu & Chen, Weiping, 2016. "The impacts of wind technology advancement on future global energy," Applied Energy, Elsevier, vol. 184(C), pages 1033-1037.
    18. Boyle, James & Littler, Timothy & Foley, Aoife, 2020. "Battery energy storage system state-of-charge management to ensure availability of frequency regulating services from wind farms," Renewable Energy, Elsevier, vol. 160(C), pages 1119-1135.
    19. Bonou, Alexandra & Laurent, Alexis & Olsen, Stig I., 2016. "Life cycle assessment of onshore and offshore wind energy-from theory to application," Applied Energy, Elsevier, vol. 180(C), pages 327-337.
    20. Hyeongpil Bang & Dwi Riana Aryani & Hwachang Song, 2021. "Application of Battery Energy Storage Systems for Relief of Generation Curtailment in Terms of Transient Stability," Energies, MDPI, vol. 14(13), pages 1-14, June.

    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:3:p:1468-:d:1055289. 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.