Verification and analysis of a Battery Energy Storage System model

Energy Storage System modelling is the foundation for research into the deployment and optimization of energy storage in new and existing applications. The increasing penetration of renewable energy into electrical grids worldwide means energy storage is becoming a vital component in the modern elec...

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Main Authors: Andrew J. Hutchinson, Daniel T. Gladwin
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722008885
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author Andrew J. Hutchinson
Daniel T. Gladwin
author_facet Andrew J. Hutchinson
Daniel T. Gladwin
author_sort Andrew J. Hutchinson
collection DOAJ
description Energy Storage System modelling is the foundation for research into the deployment and optimization of energy storage in new and existing applications. The increasing penetration of renewable energy into electrical grids worldwide means energy storage is becoming a vital component in the modern electrical distribution system. In this paper, a model for a Battery Energy Storage System developed in MATLAB/Simulink is introduced and subsequently experimentally verified against an existing 2 MW installation operated by The University of Sheffield (Willenhall). The model presented in this paper achieved average Root Mean Square Error (RMSE) values of 1.29% and 1.05% when comparing the state of charge (SOC) of the model with two different methods of SOC measurement at the Willenhall installation. The methodology behind fine tuning the model to decrease the average RMSE is presented and discussed.
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spelling doaj.art-4181a82e49a24aff8c8cc4c2809b35c92022-12-22T04:40:19ZengElsevierEnergy Reports2352-48472022-11-0184147Verification and analysis of a Battery Energy Storage System modelAndrew J. Hutchinson0Daniel T. Gladwin1Corresponding author.; Department of Electrical and Electronic Engineering, University of Sheffield, Western Bank, S10 2TN, United KingdomDepartment of Electrical and Electronic Engineering, University of Sheffield, Western Bank, S10 2TN, United KingdomEnergy Storage System modelling is the foundation for research into the deployment and optimization of energy storage in new and existing applications. The increasing penetration of renewable energy into electrical grids worldwide means energy storage is becoming a vital component in the modern electrical distribution system. In this paper, a model for a Battery Energy Storage System developed in MATLAB/Simulink is introduced and subsequently experimentally verified against an existing 2 MW installation operated by The University of Sheffield (Willenhall). The model presented in this paper achieved average Root Mean Square Error (RMSE) values of 1.29% and 1.05% when comparing the state of charge (SOC) of the model with two different methods of SOC measurement at the Willenhall installation. The methodology behind fine tuning the model to decrease the average RMSE is presented and discussed.http://www.sciencedirect.com/science/article/pii/S2352484722008885Battery energy storageModellingMATLABSimulink
spellingShingle Andrew J. Hutchinson
Daniel T. Gladwin
Verification and analysis of a Battery Energy Storage System model
Energy Reports
Battery energy storage
Modelling
MATLAB
Simulink
title Verification and analysis of a Battery Energy Storage System model
title_full Verification and analysis of a Battery Energy Storage System model
title_fullStr Verification and analysis of a Battery Energy Storage System model
title_full_unstemmed Verification and analysis of a Battery Energy Storage System model
title_short Verification and analysis of a Battery Energy Storage System model
title_sort verification and analysis of a battery energy storage system model
topic Battery energy storage
Modelling
MATLAB
Simulink
url http://www.sciencedirect.com/science/article/pii/S2352484722008885
work_keys_str_mv AT andrewjhutchinson verificationandanalysisofabatteryenergystoragesystemmodel
AT danieltgladwin verificationandanalysisofabatteryenergystoragesystemmodel