LAPSE:2023.3722v1
Published Article
LAPSE:2023.3722v1
Operational Data Analysis of a Battery Energy Storage System to Support Wind Energy Generation
February 22, 2023
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
battery energy storage system, energy transition, intermittency, power factor smoothing, renewable resources, wind power
Suggested Citation
Pontes L, Costa T, Souza A, Dantas N, Vasconcelos A, Rissi G, Dias R, Mohamed MA, Siano P, Marinho M. Operational Data Analysis of a Battery Energy Storage System to Support Wind Energy Generation. (2023). LAPSE:2023.3722v1
Author Affiliations
Pontes L: 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 [ORCID]
Costa T: Edson Mororó Moura Institute of Technology—ITEMM, Recife 51020-280, PE, Brazil
Souza A: Edson Mororó Moura Institute of Technology—ITEMM, Recife 51020-280, PE, Brazil [ORCID]
Dantas N: Edson Mororó Moura Institute of Technology—ITEMM, Recife 51020-280, PE, Brazil
Vasconcelos A: Edson Mororó Moura Institute of Technology—ITEMM, Recife 51020-280, PE, Brazil [ORCID]
Rissi G: Companhia Paulista de Força e Luz—CPFL Energy, Campinas 13087-397, SP, Brazil
Dias R: Polytechnic School of Pernambuco, University of Pernambuco—UPE, Recife 50720-001, PE, Brazil [ORCID]
Mohamed MA: Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61519, Egypt [ORCID]
Siano P: Department of Management & Innovation Systems, University of Salerno, 84084 Fisciano, Italy [ORCID]
Marinho M: Polytechnic School of Pernambuco, University of Pernambuco—UPE, Recife 50720-001, PE, Brazil [ORCID]
Journal Name
Energies
Volume
16
Issue
3
First Page
1468
Year
2023
Publication Date
2023-02-02
ISSN
1996-1073
Version Comments
Original Submission
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PII: en16031468, Publication Type: Journal Article
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LAPSE:2023.3722v1
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https://doi.org/10.3390/en16031468
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