Paper
14 June 2023 Ordered charging control strategy of optical storage charging station based on peak-valley time division
Author Affiliations +
Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023); 127081M (2023) https://doi.org/10.1117/12.2683870
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023), 2023, Chongqing, China
Abstract
The orderly control strategy of the optical storage charging station can significantly reduce the impact of the disordered charging of many vehicles on the power grid. However, users' response to orderly charging will cause inconvenience to some extent. Therefore, this paper proposes a coordinated control strategy of optical storage charging station based on peak-valley period, taking the minimum total load of charging station and the minimum charging cost of users within the user charging period as the objective function, and adopts the bee colony algorithm to comprehensively analyze the impact of different peak-valley period division and different user responsiveness on the power grid impact. The effectiveness of this strategy is verified by an example analysis. This method significantly reduces the impact of the optical storage charging station on the power grid.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Song Zhao, Shaojia Dang, Wei Zhao, Rongli Li, Xu Li, Qian Zhang, Ronghua Du, Hongyan Huo, Lei Zhou, Haicun Yu, Guobin Zhang, Ruijun Guo, Xiaogang Xin, Jianhua Yin, Chengguo Qin, and Qiuping Li "Ordered charging control strategy of optical storage charging station based on peak-valley time division", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023), 127081M (14 June 2023); https://doi.org/10.1117/12.2683870
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KEYWORDS
Solar energy

Optical storage

Batteries

Power grids

Control systems

Particle swarm optimization

Photovoltaics

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