Distributed resilient control for energy storage systems in cyber-physical microgrids

As a cyber-physical system (CPS), the security of microgrids (MGs) is threatened by unknown faults and cyberattacks. Most existing distributed control methods for MGs are proposed based on the assumption that secondary controllers of distributed generation units operate in normal conditions. However...

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Main Authors: Deng, Chao, Wang, Yu, Wen, Changyun, Xu, Yan, Lin, Pengfeng
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/155300
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1553002022-03-17T06:23:44Z Distributed resilient control for energy storage systems in cyber-physical microgrids Deng, Chao Wang, Yu Wen, Changyun Xu, Yan Lin, Pengfeng School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Cyber–Physical Systems Distributed Resilient Control As a cyber-physical system (CPS), the security of microgrids (MGs) is threatened by unknown faults and cyberattacks. Most existing distributed control methods for MGs are proposed based on the assumption that secondary controllers of distributed generation units operate in normal conditions. However, the faults and attacks of the distributed control system could lead to a significant impact and consequently influence the security and stability of MGs. In this article, a distributed resilient control strategy for multiple energy storage systems (ESSs) in islanded MGs is proposed to deal with these hidden but lethal issues. By introducing an adaptive technique, a distributed resilient control method is proposed for frequency/voltage restoration, fair real power sharing, and state-of-charge balancing in MGs with multiple ESSs in abnormal condition. The stability of the proposed method is rigorously proved by Lyapunov methods. The proposed method is validated on test systems developed in OPAL-RT simulator under various cases. Ministry of Education (MOE) This work was supported by the Ministry of Education of Singapore Grant MOE2017-T2-1-050 and in part by the Joint Funds of the National Natural Science Foundation of China under Grant U1966202. Paper no. TII-20-0599. 2022-03-17T06:23:44Z 2022-03-17T06:23:44Z 2020 Journal Article Deng, C., Wang, Y., Wen, C., Xu, Y. & Lin, P. (2020). Distributed resilient control for energy storage systems in cyber-physical microgrids. IEEE Transactions On Industrial Informatics, 17(2), 1331-1341. https://dx.doi.org/10.1109/TII.2020.2981549 1551-3203 https://hdl.handle.net/10356/155300 10.1109/TII.2020.2981549 2-s2.0-85096639706 2 17 1331 1341 en MOE2017-T2-1-050 IEEE Transactions on Industrial Informatics © 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
Cyber–Physical Systems
Distributed Resilient Control
spellingShingle Engineering::Electrical and electronic engineering
Cyber–Physical Systems
Distributed Resilient Control
Deng, Chao
Wang, Yu
Wen, Changyun
Xu, Yan
Lin, Pengfeng
Distributed resilient control for energy storage systems in cyber-physical microgrids
description As a cyber-physical system (CPS), the security of microgrids (MGs) is threatened by unknown faults and cyberattacks. Most existing distributed control methods for MGs are proposed based on the assumption that secondary controllers of distributed generation units operate in normal conditions. However, the faults and attacks of the distributed control system could lead to a significant impact and consequently influence the security and stability of MGs. In this article, a distributed resilient control strategy for multiple energy storage systems (ESSs) in islanded MGs is proposed to deal with these hidden but lethal issues. By introducing an adaptive technique, a distributed resilient control method is proposed for frequency/voltage restoration, fair real power sharing, and state-of-charge balancing in MGs with multiple ESSs in abnormal condition. The stability of the proposed method is rigorously proved by Lyapunov methods. The proposed method is validated on test systems developed in OPAL-RT simulator under various cases.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Deng, Chao
Wang, Yu
Wen, Changyun
Xu, Yan
Lin, Pengfeng
format Article
author Deng, Chao
Wang, Yu
Wen, Changyun
Xu, Yan
Lin, Pengfeng
author_sort Deng, Chao
title Distributed resilient control for energy storage systems in cyber-physical microgrids
title_short Distributed resilient control for energy storage systems in cyber-physical microgrids
title_full Distributed resilient control for energy storage systems in cyber-physical microgrids
title_fullStr Distributed resilient control for energy storage systems in cyber-physical microgrids
title_full_unstemmed Distributed resilient control for energy storage systems in cyber-physical microgrids
title_sort distributed resilient control for energy storage systems in cyber-physical microgrids
publishDate 2022
url https://hdl.handle.net/10356/155300
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