Energies (Feb 2023)

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

  • Luana Pontes,
  • Tatiane Costa,
  • Amanda Souza,
  • Nicolau Dantas,
  • Andrea Vasconcelos,
  • Guilherme Rissi,
  • Roberto Dias,
  • Mohamed A. Mohamed,
  • Pierluigi Siano,
  • Manoel Marinho

DOI
https://doi.org/10.3390/en16031468
Journal volume & issue
Vol. 16, no. 3
p. 1468

Abstract

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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.

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