Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator
Aiming at large system operation fluctuations caused by the technical control of virtual synchronous generators, this article studies the introduction of interface converter control power, builds a virtual synchronous generator (VSG)-based hybrid microgrid model and adaptive control strategy. Finall...
Published in: | Advanced Control for Applications: Engineering and Industrial Systems |
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John Wiley and Sons Inc
2024
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2-s2.0-85162857275 Wang J.; Ramli N.; Aziz N.H.A. Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator 2024 Advanced Control for Applications: Engineering and Industrial Systems 6 2 10.1002/adc2.155 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162857275&doi=10.1002%2fadc2.155&partnerID=40&md5=877853285df7285458f395466d0eb125 Aiming at large system operation fluctuations caused by the technical control of virtual synchronous generators, this article studies the introduction of interface converter control power, builds a virtual synchronous generator (VSG)-based hybrid microgrid model and adaptive control strategy. Finally it optimizes it with fuzzy logic to obtain an fuzzy logic controller (FLC) based adaptive VSG control strategy. The experimental results show that under the FLC-based adaptive VSG control strategy, in the reverse current mode, the system regression time is 0.37 s, and the DC bus voltage is 6.5 V; In the rectification mode, the system regression time is 0.49 s, and the DC bus voltage is 2.1 V. The results obtained are faster than the traditional VSG control strategy, and the DC bus voltage is 42.48%–68.66% lower. In summary, the suggested control approach is effective and reliable under the two operation modes, which can make the system operate safely and stably. © 2023 John Wiley & Sons Ltd. John Wiley and Sons Inc 25780727 English Article |
author |
Wang J.; Ramli N.; Aziz N.H.A. |
spellingShingle |
Wang J.; Ramli N.; Aziz N.H.A. Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator |
author_facet |
Wang J.; Ramli N.; Aziz N.H.A. |
author_sort |
Wang J.; Ramli N.; Aziz N.H.A. |
title |
Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator |
title_short |
Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator |
title_full |
Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator |
title_fullStr |
Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator |
title_full_unstemmed |
Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator |
title_sort |
Modeling and adaptive control strategy of hybrid microgrid based on virtual synchronous generator |
publishDate |
2024 |
container_title |
Advanced Control for Applications: Engineering and Industrial Systems |
container_volume |
6 |
container_issue |
2 |
doi_str_mv |
10.1002/adc2.155 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162857275&doi=10.1002%2fadc2.155&partnerID=40&md5=877853285df7285458f395466d0eb125 |
description |
Aiming at large system operation fluctuations caused by the technical control of virtual synchronous generators, this article studies the introduction of interface converter control power, builds a virtual synchronous generator (VSG)-based hybrid microgrid model and adaptive control strategy. Finally it optimizes it with fuzzy logic to obtain an fuzzy logic controller (FLC) based adaptive VSG control strategy. The experimental results show that under the FLC-based adaptive VSG control strategy, in the reverse current mode, the system regression time is 0.37 s, and the DC bus voltage is 6.5 V; In the rectification mode, the system regression time is 0.49 s, and the DC bus voltage is 2.1 V. The results obtained are faster than the traditional VSG control strategy, and the DC bus voltage is 42.48%–68.66% lower. In summary, the suggested control approach is effective and reliable under the two operation modes, which can make the system operate safely and stably. © 2023 John Wiley & Sons Ltd. |
publisher |
John Wiley and Sons Inc |
issn |
25780727 |
language |
English |
format |
Article |
accesstype |
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record_format |
scopus |
collection |
Scopus |
_version_ |
1814778499731292160 |