期刊
APPLIED SCIENCES-BASEL
卷 10, 期 21, 页码 -出版社
MDPI
DOI: 10.3390/app10217544
关键词
microgrid; flexible region; demand side response; wind power generation; photovoltaic power generation; energy storage
类别
资金
- Research on complex power quality disturbance identification and fault diagnosis based on deep learning [52077089]
A microgrid can effectively improve the system reliability of a distribution network. When a fault occurs, the microgrid only has a determined division scheme under a fixed boundary method, and it is difficult to adapt to the random load and distributed power. In this paper, a novel renewable energy planning method considering the flexible region of the microgrid is proposed. Based on the randomness of the load and the output of distributed generations (DG) in the microgrid, the dynamic division method of the microgrid is proposed and the optimal allocation model of the distributed energy in the microgrid is established. Further, the model and method proposed are verified by the IEEE-33 bus test system. The simulation results show that the allocation of renewable energy in the microgrid considering the flexible region of the microgrid can effectively increase the utilization of renewable energy and improve the reliability of microgrid operation.
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