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 () and Manoel Marinho
Additional contact information
Luana Pontes: Polytechnic School of Pernambuco, University of Pernambuco—UPE, Recife 50720-001, 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

Energies, 2023, vol. 16, issue 3, 1-20

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.

Keywords: renewable resources; energy transition; battery energy storage system; wind power; intermittency; power factor smoothing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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