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

Author:

Pontes Luana12ORCID,Costa Tatiane2,Souza Amanda2ORCID,Dantas Nicolau2,Vasconcelos Andrea2ORCID,Rissi Guilherme3,Dias Roberto1ORCID,Mohamed Mohamed A.4ORCID,Siano Pierluigi5ORCID,Marinho Manoel1ORCID

Affiliation:

1. Polytechnic School of Pernambuco, University of Pernambuco—UPE, Recife 50720-001, PE, Brazil

2. Edson Mororó Moura Institute of Technology—ITEMM, Recife 51020-280, PE, Brazil

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

4. Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61519, Egypt

5. Department of Management & Innovation Systems, University of Salerno, 84084 Fisciano, Italy

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.

Funder

Companhia Paulista de Força e Luz

Agência Nacional de Energia Elétrica (ANEEL) of Brazil

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference46 articles.

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2. Abdin, Z., and Khalilpour, K.R. (2019). Polygeneration with Polystorage for Chemical and Energy Hubs, Elsevier.

3. de O. Santos, D.S., de Mattos Neto, P.S., de Oliveira, J.F., Siqueira, H.V., Barchi, T.M., Lima, A.R., Madeiro, F., Dantas, D.A., Converti, A., and Pereira, A.C. (2022). Solar Irradiance Forecasting Using Dynamic Ensemble Selection. Appl. Sci., 12.

4. GWE Council (2022). GWEC Global Wind Report 2022, Global Wind Energy Council.

5. ANEEL (2022, March 13). Brazilian Electrical Matrix. Available online: https://app.powerbi.com/view?r=eyJrIjoiNjc4OGYyYjQtYWM2ZC00YjllLWJlYmEtYzdkNTQ1MTc1NjM2IiwidCI6IjQwZDZmOWI4LWVjYTcDZhMi05MmQ0LWNGU5YzAxNzBlMSIsImMiOjR9.

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