Small-signal Analysis of DC Microgrid and Multi-objective Optimization Segmented Droop Control Suitable for Economic Dispatch
To obtain a larger controllable range of output/input power of droop-control sources, a multi-objective optimization segmented droop control suitable for economic dispatch for a DC microgrid is proposed. According to the small-signal analysis, the worst point of the stability in the droop-control cu...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9018468/ |
| _version_ | 1828942604120621056 |
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| author | Haiyuan Liu Yingjie Wang Min Wang Yinan Guo Jiashi Wang Gang Shen Guoqiang Liao |
| author_facet | Haiyuan Liu Yingjie Wang Min Wang Yinan Guo Jiashi Wang Gang Shen Guoqiang Liao |
| author_sort | Haiyuan Liu |
| collection | DOAJ |
| description | To obtain a larger controllable range of output/input power of droop-control sources, a multi-objective optimization segmented droop control suitable for economic dispatch for a DC microgrid is proposed. According to the small-signal analysis, the worst point of the stability in the droop-control curve is determined through the analysis of a simplified model with multiple droop-control sources. By considering the worst points of stability as constraints, an elitist non-dominated sorting genetic algorithm is used to search the better turning points of the proposed droop-control curves after obtaining the new rated operation points from the system-layer economic dispatch. Simultaneously, optimization objectives, including the influence of eliminating the line resistance and capacity matching, are considered in the search process. Finally, the simulation results of the DC microgrid simulation model based on RT-Lab are presented to support the stability conclusion and proposed droop control. |
| first_indexed | 2024-12-14T03:58:24Z |
| format | Article |
| id | doaj.art-c8552361f9fc43c286bf1e5e7e5cfec5 |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-12-14T03:58:24Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-c8552361f9fc43c286bf1e5e7e5cfec52022-12-21T23:18:01ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202020-01-018356457210.35833/MPCE.2018.0008789018468Small-signal Analysis of DC Microgrid and Multi-objective Optimization Segmented Droop Control Suitable for Economic DispatchHaiyuan Liu0Yingjie Wang1Min Wang2Yinan Guo3Jiashi Wang4Gang Shen5Guoqiang Liao6School of Information and Control Engineering, China University of Mining and Technology,Xuzhou,China,221000School of Electrical and Power Engineering, China University of Mining and Technology,Xuzhou,China,221000School of Electrical and Power Engineering, China University of Mining and Technology,Xuzhou,China,221000School of Information and Control Engineering, China University of Mining and Technology,Xuzhou,China,221000School of Electrical and Power Engineering, China University of Mining and Technology,Xuzhou,China,221000School of Mechanical Engineering, China University of Mining and Technology,Xuzhou,China,221000CRRC Zhuzhou Locomotive Co., Ltd.,Zhuzhou,China,412001To obtain a larger controllable range of output/input power of droop-control sources, a multi-objective optimization segmented droop control suitable for economic dispatch for a DC microgrid is proposed. According to the small-signal analysis, the worst point of the stability in the droop-control curve is determined through the analysis of a simplified model with multiple droop-control sources. By considering the worst points of stability as constraints, an elitist non-dominated sorting genetic algorithm is used to search the better turning points of the proposed droop-control curves after obtaining the new rated operation points from the system-layer economic dispatch. Simultaneously, optimization objectives, including the influence of eliminating the line resistance and capacity matching, are considered in the search process. Finally, the simulation results of the DC microgrid simulation model based on RT-Lab are presented to support the stability conclusion and proposed droop control.https://ieeexplore.ieee.org/document/9018468/Small signalDC microgriddroop controlelitist non-dominated sorting genetic algorithm (NSGA-Π) |
| spellingShingle | Haiyuan Liu Yingjie Wang Min Wang Yinan Guo Jiashi Wang Gang Shen Guoqiang Liao Small-signal Analysis of DC Microgrid and Multi-objective Optimization Segmented Droop Control Suitable for Economic Dispatch Journal of Modern Power Systems and Clean Energy Small signal DC microgrid droop control elitist non-dominated sorting genetic algorithm (NSGA-Π) |
| title | Small-signal Analysis of DC Microgrid and Multi-objective Optimization Segmented Droop Control Suitable for Economic Dispatch |
| title_full | Small-signal Analysis of DC Microgrid and Multi-objective Optimization Segmented Droop Control Suitable for Economic Dispatch |
| title_fullStr | Small-signal Analysis of DC Microgrid and Multi-objective Optimization Segmented Droop Control Suitable for Economic Dispatch |
| title_full_unstemmed | Small-signal Analysis of DC Microgrid and Multi-objective Optimization Segmented Droop Control Suitable for Economic Dispatch |
| title_short | Small-signal Analysis of DC Microgrid and Multi-objective Optimization Segmented Droop Control Suitable for Economic Dispatch |
| title_sort | small signal analysis of dc microgrid and multi objective optimization segmented droop control suitable for economic dispatch |
| topic | Small signal DC microgrid droop control elitist non-dominated sorting genetic algorithm (NSGA-Π) |
| url | https://ieeexplore.ieee.org/document/9018468/ |
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