Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System

This work discusses the use of a battery energy storage system applied to the smoothing of power generated at the output of wind turbines based on a fuzzy logic power control. The fuzzy control logic proposed can perform the aforementioned activity while the state of charge of the energy storage sys...

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Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/16/6017
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author 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
author_facet 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
author_sort Pablo L. Tabosa da Silva
collection DOAJ
description This work discusses the use of a battery energy storage system applied to the smoothing of power generated at the output of wind turbines based on a fuzzy logic power control. The fuzzy control logic proposed can perform the aforementioned activity while the state of charge of the energy storage system is maintained within operational limits. In order to assess the fuzzy logic power control’s effectiveness at maintaining the state of charge levels within the allowed range, two operating situations are explored: one in which the state of charge is above the upper limit allowed, and another in which the state of charge is in the minimum value allowed. The numerical results show that, when using the battery energy storage system in conjunction with the control logic proposed, the active power provided as the point of common coupling by the wind turbines can be smoothed, thus contributing to the Electric Power System reliability and stability. The main results of this paper are based on measurements of wind and active power associated with a wind generation plant installed in the northeast region of Brazil and equipped with 2.1 MW wind turbines.
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spelling doaj.art-0b71b44cdc6e4a95ac93db093db721442023-11-19T00:57:32ZengMDPI AGEnergies1996-10732023-08-011616601710.3390/en16166017Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage SystemPablo L. Tabosa da Silva0Pedro A. Carvalho Rosas1José F. C. Castro2Davidson da Costa Marques3Ronaldo R. B. Aquino4Guilherme F. Rissi5Rafael C. Neto6Douglas C. P. Barbosa7Department of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, BrazilDepartment of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, BrazilDepartment of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, BrazilDepartment of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, BrazilDepartment of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, BrazilCPFL Energy, Campinas 13087-397, SP, BrazilDepartment of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, BrazilDepartment of Electrical Engineering, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, BrazilThis work discusses the use of a battery energy storage system applied to the smoothing of power generated at the output of wind turbines based on a fuzzy logic power control. The fuzzy control logic proposed can perform the aforementioned activity while the state of charge of the energy storage system is maintained within operational limits. In order to assess the fuzzy logic power control’s effectiveness at maintaining the state of charge levels within the allowed range, two operating situations are explored: one in which the state of charge is above the upper limit allowed, and another in which the state of charge is in the minimum value allowed. The numerical results show that, when using the battery energy storage system in conjunction with the control logic proposed, the active power provided as the point of common coupling by the wind turbines can be smoothed, thus contributing to the Electric Power System reliability and stability. The main results of this paper are based on measurements of wind and active power associated with a wind generation plant installed in the northeast region of Brazil and equipped with 2.1 MW wind turbines.https://www.mdpi.com/1996-1073/16/16/6017power smoothingfuzzy inferencewind turbinesenergy storage systems
spellingShingle 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
Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System
Energies
power smoothing
fuzzy inference
wind turbines
energy storage systems
title Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System
title_full Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System
title_fullStr Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System
title_full_unstemmed Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System
title_short Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System
title_sort power smoothing strategy for wind generation based on fuzzy control strategy with battery energy storage system
topic power smoothing
fuzzy inference
wind turbines
energy storage systems
url https://www.mdpi.com/1996-1073/16/16/6017
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