Intelligent power sharing of DC isolated microgrid based on fuzzy sliding mode droop control

Linear droop control can realize power sharing among generators in dc microgrid (MG) without relying on critical communication links. However, the droop relationship between output power and voltage magnitude of renewable power generate system is nonlinear with uncertainties and disturbances from re...

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Main Authors: Mi, Yang, Zhang, Han, Fu, Yang, Wang, Chengshan, Loh, Poh Chiang, Wang, Peng
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/141246
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1412462020-06-05T04:46:36Z Intelligent power sharing of DC isolated microgrid based on fuzzy sliding mode droop control Mi, Yang Zhang, Han Fu, Yang Wang, Chengshan Loh, Poh Chiang Wang, Peng School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Droop Control Autonomous Power Sharing Linear droop control can realize power sharing among generators in dc microgrid (MG) without relying on critical communication links. However, the droop relationship between output power and voltage magnitude of renewable power generate system is nonlinear with uncertainties and disturbances from renewable sources and loads in practical dc MG. A novel droop scheme is proposed for an isolated dc MG to solve the nonlinear problem. The control strategy is proposed by using the Takagi-Sugeno (T-S) fuzzy model and sliding mode algorithm. The nonlinear droop characteristics can be represented by T-S model through taking advantage of locally measured output variables. The sliding mode droop controller is designed for compensating the uncertainties and disturbances to derive accurate power sharing based on T-S fuzzy model. The proposed scheme is proved to be effective under variable operating conditions through PSIM/MATLAB simulation. 2020-06-05T04:46:36Z 2020-06-05T04:46:36Z 2018 Journal Article Mi, Y., Zhang, H., Fu, Y., Wang, C., Loh, P. C., & Wang, P. (2019). Intelligent power sharing of DC isolated microgrid based on fuzzy sliding mode droop control. IEEE Transactions on Smart Grid, 10(3), 2396-2406. doi:10.1109/TSG.2018.2797127 1949-3053 https://hdl.handle.net/10356/141246 10.1109/TSG.2018.2797127 2-s2.0-85041312227 3 10 2396 2406 en IEEE Transactions on Smart Grid © 2018 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Droop Control
Autonomous Power Sharing
spellingShingle Engineering::Electrical and electronic engineering
Droop Control
Autonomous Power Sharing
Mi, Yang
Zhang, Han
Fu, Yang
Wang, Chengshan
Loh, Poh Chiang
Wang, Peng
Intelligent power sharing of DC isolated microgrid based on fuzzy sliding mode droop control
description Linear droop control can realize power sharing among generators in dc microgrid (MG) without relying on critical communication links. However, the droop relationship between output power and voltage magnitude of renewable power generate system is nonlinear with uncertainties and disturbances from renewable sources and loads in practical dc MG. A novel droop scheme is proposed for an isolated dc MG to solve the nonlinear problem. The control strategy is proposed by using the Takagi-Sugeno (T-S) fuzzy model and sliding mode algorithm. The nonlinear droop characteristics can be represented by T-S model through taking advantage of locally measured output variables. The sliding mode droop controller is designed for compensating the uncertainties and disturbances to derive accurate power sharing based on T-S fuzzy model. The proposed scheme is proved to be effective under variable operating conditions through PSIM/MATLAB simulation.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Mi, Yang
Zhang, Han
Fu, Yang
Wang, Chengshan
Loh, Poh Chiang
Wang, Peng
format Article
author Mi, Yang
Zhang, Han
Fu, Yang
Wang, Chengshan
Loh, Poh Chiang
Wang, Peng
author_sort Mi, Yang
title Intelligent power sharing of DC isolated microgrid based on fuzzy sliding mode droop control
title_short Intelligent power sharing of DC isolated microgrid based on fuzzy sliding mode droop control
title_full Intelligent power sharing of DC isolated microgrid based on fuzzy sliding mode droop control
title_fullStr Intelligent power sharing of DC isolated microgrid based on fuzzy sliding mode droop control
title_full_unstemmed Intelligent power sharing of DC isolated microgrid based on fuzzy sliding mode droop control
title_sort intelligent power sharing of dc isolated microgrid based on fuzzy sliding mode droop control
publishDate 2020
url https://hdl.handle.net/10356/141246
_version_ 1681057927608139776