Affiliation:
1. Department of Electrical Engineering, Chongqing Three Gorges University, Chongqing 400000, China
2. School of Electrical Engineering, Southeast University, Nanjing 210096, China
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.
Funder
National Science Fund Projects
Chongqing Natural Science Fund Project
Chongqing University Innovation Research Group Project
Chongqing Postgraduate Research Innovation Project Funding
Cited by
5 articles.
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