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...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/141246 |
| _version_ | 1811688769017872384 |
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| author | Mi, Yang Zhang, Han Fu, Yang Wang, Chengshan Loh, Poh Chiang Wang, Peng |
| 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 |
| author_sort | Mi, Yang |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T05:37:28Z |
| format | Journal Article |
| id | ntu-10356/141246 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:37:28Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-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. |
| 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 |
| title | 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_short | 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 |
| topic | Engineering::Electrical and electronic engineering Droop Control Autonomous Power Sharing |
| url | https://hdl.handle.net/10356/141246 |
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