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Article

V2G Scheduling of Electric Vehicles Considering Wind Power Consumption

1
Department of Electrical Engineering, Chongqing Three Gorges University, Chongqing 400000, China
2
School of Electrical Engineering, Southeast University, Nanjing 210096, China
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2023, 14(9), 236; https://doi.org/10.3390/wevj14090236
Submission received: 31 July 2023 / Revised: 23 August 2023 / Accepted: 25 August 2023 / Published: 28 August 2023

Abstract

The wind power (WP) has strong random volatility and is not coordinated with the load in time and space, resulting in serious wind abandonment. Based on this, an orderly charging and discharging strategy for electric vehicles (EVs) considering WP consumption is proposed in this paper. The strategy uses the vehicle-to-grid (V2G) technology to establish the maximum consumption of WP in the region, minimizes the peak–valley difference of the power grid and maximizes the electricity sales efficiency of the power company in the mountainous city. The dynamic electricity prices are set according to the predicted values and the true values of WP output, and the improved adaptive particle swarm optimization (APSO) and CVX toolbox are used to solve the problems. When the user responsiveness is 30%, 60% and 100%, the WP consumption is 72.1%, 81.04% and 92.69%, respectively. Meanwhile, the peak shaving and valley filling of the power grid are realized, and the power sales benefit of the power company is guaranteed.
Keywords: EV; orderly charging; V2G; mountainous city; wind power consumption; dynamic price EV; orderly charging; V2G; mountainous city; wind power consumption; dynamic price

Share and Cite

MDPI and ACS Style

Shang, B.; Dai, N.; Cai, L.; Yang, C.; Li, J.; Xu, Q. V2G Scheduling of Electric Vehicles Considering Wind Power Consumption. World Electr. Veh. J. 2023, 14, 236. https://doi.org/10.3390/wevj14090236

AMA Style

Shang B, Dai N, Cai L, Yang C, Li J, Xu Q. V2G Scheduling of Electric Vehicles Considering Wind Power Consumption. World Electric Vehicle Journal. 2023; 14(9):236. https://doi.org/10.3390/wevj14090236

Chicago/Turabian Style

Shang, Bingjie, Nina Dai, Li Cai, Chenxi Yang, Junting Li, and Qingshan Xu. 2023. "V2G Scheduling of Electric Vehicles Considering Wind Power Consumption" World Electric Vehicle Journal 14, no. 9: 236. https://doi.org/10.3390/wevj14090236

APA Style

Shang, B., Dai, N., Cai, L., Yang, C., Li, J., & Xu, Q. (2023). V2G Scheduling of Electric Vehicles Considering Wind Power Consumption. World Electric Vehicle Journal, 14(9), 236. https://doi.org/10.3390/wevj14090236

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