Study on the demand side response mode of electric vehicle participation in Yunnan based on V2G model

Xuan Yang; Bangcan Wang; Gaoquan Ma

doi:10.1117/12.2680812

23 May 2023 Study on the demand side response mode of electric vehicle participation in Yunnan based on V2G model

Xuan Yang, Bangcan Wang, Gaoquan Ma

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126452K (2023) https://doi.org/10.1117/12.2680812
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

As a flexible demand-side response resource, the charge and discharge of electric vehicles can be reasonably and orderly controlled through the demand response strategy, so as to improve the two-way interaction between electric vehicles and the smart grid and ensure the safe and stable operation of the power grid. This paper analyzes the participation of electric vehicles in Yunnan electric demand side response application scenarios, the study of electric vehicles in public charging stations, community charging stations and under three different charging places, participate in the demand side response, including the choice of different participation strategy, cost benefit analysis, etc., and gets different application scenarios for the most appropriate electric car participation strategy.

Citation Download Citation

Xuan Yang, Bangcan Wang, and Gaoquan Ma "Study on the demand side response mode of electric vehicle participation in Yunnan based on V2G model", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126452K (23 May 2023); https://doi.org/10.1117/12.2680812

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