Paper
18 July 2023 Coordinated control strategy of optical storage charging station considering bilateral demand
Author Affiliations +
Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 1272234 (2023) https://doi.org/10.1117/12.2679470
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China
Abstract
The orderly control strategy adopted in the charging station can decrease the peak-valley difference (PVD) and promote the normality and safety of the charging station in the electrical power grid. However, the orderly control strategy will lead to inconvenience for EV’s owners to charge and limit its large-scale application. Therefore, it is an urgent problem to reasonably optimize the charging and discharging process of electric vehicles in the optical storage charging station. The research in this paper is mainly aimed at making the grid side meet expectations, and making the EV’s owners charge the lowest. In this paper, aiming at the minimum PVD of the grid and the lowest EV’s owners charging cost, taking into account the maximum load and EV’s owners charging time of the charging station, the genetic algorithm is used to solve the problem, and the coordinated control model for optimizing the charging and discharging behavior of electric vehicles in the optical storage charging station is established. The feasibility of the strategy is verified by an example analysis. The method significantly reduces the PVD of the power grid.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Song Zhao, Qian Zhang, Ronghua Du, Shaojia Dang, Rongli Li, Hongyan Huo, Lei Zhou, Haicun Yu, Xu Li, Wei Zhao, Xiaogang Xin, Guobin Zhang, Ruijun Guo, Jianhua Yin, Chengguo Qin, and Qiuping Li "Coordinated control strategy of optical storage charging station considering bilateral demand", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 1272234 (18 July 2023); https://doi.org/10.1117/12.2679470
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KEYWORDS
Optical storage

Monte Carlo methods

Power grids

Solar energy

Batteries

Photovoltaics

Genetic algorithms

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