A decentralized automatic load power allocation strategy for hybrid energy storage system

A decentralized improved I-V droop control strategy for battery-supercapacitor (SC) hybrid energy storage system (HESS) is proposed in this paper. The dynamic power sharing between battery and SC is realized by replacing the constant droop coefficient in I-V droop control with virtual impedance, i.e...

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Main Authors: Wang, Zhishuang, Wang, Ping, Jiang, Wentao, Wang, Peng
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/160736
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1607362022-08-02T01:58:17Z A decentralized automatic load power allocation strategy for hybrid energy storage system Wang, Zhishuang Wang, Ping Jiang, Wentao Wang, Peng School of Electrical and Electronic Engineering Energy Research Institute @ NTU (ERI@N) Engineering::Electrical and electronic engineering Hybrid Energy Storage System Power Allocation A decentralized improved I-V droop control strategy for battery-supercapacitor (SC) hybrid energy storage system (HESS) is proposed in this paper. The dynamic power sharing between battery and SC is realized by replacing the constant droop coefficient in I-V droop control with virtual impedance, i.e. virtual inductance for battery side converter and virtual resistance for SC side converter. Besides, by injecting the virtual inductance in the battery side converter, negligible DC bus voltage deviation can be achieved without extra voltage compensator. Moreover, the state-of-charge (SoC) recovery is also considered to extend the service life of the HESS. Furthermore, in the proposed regulated power system, since the power allocation, DC bus stability and SoC recovery are decoupled from each other, the design of control parameters is simple. The corresponding design guideline is demonstrated in this paper. Finally, to verify the accuracy and feasibility of the theoretical analyses, hardware in the loop simulations have been conducted. Nanyang Technological University This work was supported in part by the Natural Science Foundation of China under Grant 51977145, and in part by the Energy Research Institute at NTU (ERI@N) 2022-08-02T01:58:17Z 2022-08-02T01:58:17Z 2021 Journal Article Wang, Z., Wang, P., Jiang, W. & Wang, P. (2021). A decentralized automatic load power allocation strategy for hybrid energy storage system. IEEE Transactions On Energy Conversion, 36(3), 2227-2238. https://dx.doi.org/10.1109/TEC.2020.3038476 0885-8969 https://hdl.handle.net/10356/160736 10.1109/TEC.2020.3038476 2-s2.0-85097136249 3 36 2227 2238 en IEEE Transactions on Energy Conversion © 2020 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Hybrid Energy Storage System
Power Allocation
spellingShingle Engineering::Electrical and electronic engineering
Hybrid Energy Storage System
Power Allocation
Wang, Zhishuang
Wang, Ping
Jiang, Wentao
Wang, Peng
A decentralized automatic load power allocation strategy for hybrid energy storage system
description A decentralized improved I-V droop control strategy for battery-supercapacitor (SC) hybrid energy storage system (HESS) is proposed in this paper. The dynamic power sharing between battery and SC is realized by replacing the constant droop coefficient in I-V droop control with virtual impedance, i.e. virtual inductance for battery side converter and virtual resistance for SC side converter. Besides, by injecting the virtual inductance in the battery side converter, negligible DC bus voltage deviation can be achieved without extra voltage compensator. Moreover, the state-of-charge (SoC) recovery is also considered to extend the service life of the HESS. Furthermore, in the proposed regulated power system, since the power allocation, DC bus stability and SoC recovery are decoupled from each other, the design of control parameters is simple. The corresponding design guideline is demonstrated in this paper. Finally, to verify the accuracy and feasibility of the theoretical analyses, hardware in the loop simulations have been conducted.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wang, Zhishuang
Wang, Ping
Jiang, Wentao
Wang, Peng
format Article
author Wang, Zhishuang
Wang, Ping
Jiang, Wentao
Wang, Peng
author_sort Wang, Zhishuang
title A decentralized automatic load power allocation strategy for hybrid energy storage system
title_short A decentralized automatic load power allocation strategy for hybrid energy storage system
title_full A decentralized automatic load power allocation strategy for hybrid energy storage system
title_fullStr A decentralized automatic load power allocation strategy for hybrid energy storage system
title_full_unstemmed A decentralized automatic load power allocation strategy for hybrid energy storage system
title_sort decentralized automatic load power allocation strategy for hybrid energy storage system
publishDate 2022
url https://hdl.handle.net/10356/160736
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