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

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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
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    References listed on IDEAS

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    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. Hasan Dinçer & Serhat Yüksel & Bijan Abadi, 0000. "Techno-economic Assessment of Wind Energy Storage Technologies via Decision-Making Modelling," Proceedings of Economics and Finance Conferences 14716414, International Institute of Social and Economic Sciences.
    4. 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.
    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.
    6. 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.
    7. Antonio C. C. Perrelli & Eduardo A. Sodré & André V. R. N. Silva & Caarem D. S. Studzinski & Vinícius F. Silva & Dalton F. G. Filho & Armando T. Neto & Alex A. B. Santos, 2024. "Optimizing Price Markup: The Impact of Power Purchase Agreements and Energy Production Uncertainty on the Economic Performance of Onshore and Offshore Wind Farms," International Journal of Energy Economics and Policy, Econjournals, vol. 14(5), pages 211-219, September.

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