Virtual Capacity of Hybrid Energy Storage Systems Using Adaptive State of Charge Range Control for Smoothing Renewable Intermittency

This paper presents a method for improving capability of a Hybrid Energy Storage System (HESS) comprised of a battery and supercapacitor (SC), for smoothing power fluctuations of renewable energy sources by adaptively controlling the state of charge (SOC) allocation range using automatic SOC managem...

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Main Authors: Van Thang Nguyen, Jae Woong Shim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9138415/
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spelling doaj-85ab75c1a0d4489787f0e99125742e5c2021-03-30T02:08:45ZengIEEEIEEE Access2169-35362020-01-01812695112696410.1109/ACCESS.2020.30085189138415Virtual Capacity of Hybrid Energy Storage Systems Using Adaptive State of Charge Range Control for Smoothing Renewable IntermittencyVan Thang Nguyen0https://orcid.org/0000-0002-3807-3657Jae Woong Shim1https://orcid.org/0000-0001-5257-934XDepartment of Energy System Engineering, Inje University, Gimhae, South KoreaDepartment of Energy System Engineering, Inje University, Gimhae, South KoreaThis paper presents a method for improving capability of a Hybrid Energy Storage System (HESS) comprised of a battery and supercapacitor (SC), for smoothing power fluctuations of renewable energy sources by adaptively controlling the state of charge (SOC) allocation range using automatic SOC management. The proposed method secures the preset SOC range of both battery and SC for power smoothing applications of renewables and also has the ability to significantly smooth power fluctuations using the virtual capacity concept of an energy storage system (ESS) by extending the SOC usage range. The bode plots of the proposed method are analyzed to observe the coverage of the power spectrum in the frequency domain in each storage based on the case studies. A criterion of HESS sizing, both battery and SC, is also developed based on the SOC range, smoothing time constant, and the power rating of renewables. The proposed method for the integration of HESS on renewable energy sources is verified with simulation results and characteristic analysis using PSCAD/EMTDC and MATLAB software.https://ieeexplore.ieee.org/document/9138415/Virtual capacityadaptive SOC feedbackhybrid energy storage system (HESS)batterysupercapacitor (SC)renewable energy system (RES)
collection DOAJ
language English
format Article
sources DOAJ
author Van Thang Nguyen
Jae Woong Shim
spellingShingle Van Thang Nguyen
Jae Woong Shim
Virtual Capacity of Hybrid Energy Storage Systems Using Adaptive State of Charge Range Control for Smoothing Renewable Intermittency
IEEE Access
Virtual capacity
adaptive SOC feedback
hybrid energy storage system (HESS)
battery
supercapacitor (SC)
renewable energy system (RES)
author_facet Van Thang Nguyen
Jae Woong Shim
author_sort Van Thang Nguyen
title Virtual Capacity of Hybrid Energy Storage Systems Using Adaptive State of Charge Range Control for Smoothing Renewable Intermittency
title_short Virtual Capacity of Hybrid Energy Storage Systems Using Adaptive State of Charge Range Control for Smoothing Renewable Intermittency
title_full Virtual Capacity of Hybrid Energy Storage Systems Using Adaptive State of Charge Range Control for Smoothing Renewable Intermittency
title_fullStr Virtual Capacity of Hybrid Energy Storage Systems Using Adaptive State of Charge Range Control for Smoothing Renewable Intermittency
title_full_unstemmed Virtual Capacity of Hybrid Energy Storage Systems Using Adaptive State of Charge Range Control for Smoothing Renewable Intermittency
title_sort virtual capacity of hybrid energy storage systems using adaptive state of charge range control for smoothing renewable intermittency
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description This paper presents a method for improving capability of a Hybrid Energy Storage System (HESS) comprised of a battery and supercapacitor (SC), for smoothing power fluctuations of renewable energy sources by adaptively controlling the state of charge (SOC) allocation range using automatic SOC management. The proposed method secures the preset SOC range of both battery and SC for power smoothing applications of renewables and also has the ability to significantly smooth power fluctuations using the virtual capacity concept of an energy storage system (ESS) by extending the SOC usage range. The bode plots of the proposed method are analyzed to observe the coverage of the power spectrum in the frequency domain in each storage based on the case studies. A criterion of HESS sizing, both battery and SC, is also developed based on the SOC range, smoothing time constant, and the power rating of renewables. The proposed method for the integration of HESS on renewable energy sources is verified with simulation results and characteristic analysis using PSCAD/EMTDC and MATLAB software.
topic Virtual capacity
adaptive SOC feedback
hybrid energy storage system (HESS)
battery
supercapacitor (SC)
renewable energy system (RES)
url https://ieeexplore.ieee.org/document/9138415/
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AT jaewoongshim virtualcapacityofhybridenergystoragesystemsusingadaptivestateofchargerangecontrolforsmoothingrenewableintermittency
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