Research on orderly charging of electric vehicles considering random fuzzy under smart grid

Xiao Zhang; Hengxiang Gou; Yuqi Xie

doi:10.1117/12.2639737

19 October 2022 Research on orderly charging of electric vehicles considering random fuzzy under smart grid

Xiao Zhang, Hengxiang Gou, Yuqi Xie

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 1229434 (2022) https://doi.org/10.1117/12.2639737
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

In view of the fact that the existing electric vehicle (EV) charging load model does not consider the fuzziness of EV return time, the random fuzzy theory is introduced into the EV charging load model. Based on the uncertainty theory, the return time of electric vehicles is defined as a random fuzzy variable, and an electric vehicle charging load model including random fuzzy is established. Using the smart grid, the orderly charging strategy of electric vehicles is solved and optimized. Finally, the simulation example is analyzed, and it is confirmed that the electric vehicle charging load model with random fuzzy is more practical than the original model, and the electric vehicle charging strategy can achieve orderly charging effect.

Citation Download Citation

Xiao Zhang, Hengxiang Gou, and Yuqi Xie "Research on orderly charging of electric vehicles considering random fuzzy under smart grid", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 1229434 (19 October 2022); https://doi.org/10.1117/12.2639737

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