NDLI: Reliability analysis of micro grid based on load control of electric vehicle

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Reliability analysis of micro grid based on load control of electric vehicle

Content Provider	Scilit
Author	Chen, Jiachao Chen, Xu Ye, Linhao Huang, Tingcheng Zhang, Yongjun
Copyright Year	2019
Description	Journal: Iop Conference Series: Earth and Environmental Science With the development of renewable energy technologies, microgrid with distributed energy as the main energy source develops rapidly. As a kind of controllable load, electric vehicles can make up for the impact on the microgrid when they are connected to the microgrid in large quantities, so as to avoid load cutting due to insufficient power generation. In this paper, the reliability of microgrid island operation with wind power generation is studied based on the control strategy of electric vehicle. Firstly, the minimum peak load model of electric vehicles is established to evaluate the regulatory potential of electric vehicles during the island operation of microgrid. Secondly, the source-load-storage joint control strategy of microgrid with power supply reliability is proposed. Then, based on Monte Carlo simulation, a microgrid reliability assessment method based on the minimum peak load model of electric vehicles is proposed. Finally, a numerical simulation is carried out through the modified RBTS Bus6 F4 feeder system. Simulation results verify the effectiveness of the proposed model and strategy.
Related Links	https://iopscience.iop.org/article/10.1088/1755-1315/345/1/012001/pdf
ISSN	17551307
e-ISSN	17551315
DOI	10.1088/1755-1315/345/1/012001
Journal	Iop Conference Series: Earth and Environmental Science
Issue Number	1
Volume Number	345
Language	English
Publisher	IOP Publishing
Publisher Date	2019-10-01
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Earth and Environmental Science Numerical Simulation Electric Vehicles Controllable Load
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Physics and Astronomy Environmental Science

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