Power management system in the microgrid with the proper electric vehicle data preprocessing

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This paper proposes power management method in the electric vehicle charging station with the consideration of the charging characteristics of the vehicles. In our model, charging facilities determine the amount of power supplied to the electric vehicle based on the pricing data and the peak load in the region. Especially, unlike the previous researches, the proposed model can be applied to a actual environment by analyzing the practical electric vehicle charging data that gathered from the facilities. By suggesting an appropriate data classification algorithm and an energy operation method, we could reduce peak load in the region more than 20% and reduce the total charge compared with the case that proper energy operation technology is not applied.
Publisher
IEEE
Issue Date
2020-10
Language
English
Article Type
Conference Paper
Citation

11th International Conference on Information and Communication Technology Convergence (ICTC) - Data, Network, and AI in the age of Untact (ICTC), v.2020-October, pp.1748 - 1751

ISBN
9781728167589
ISSN
2162-1233
DOI
10.1109/ICTC49870.2020.9289422
URI
http://hdl.handle.net/10203/288256
Appears in Collection
EE-Conference Papers(학술회의논문)
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