Paper
7 September 2022 Optimal dispatch based on multi-station integration scenarios
Yongming Xu, Jianxun Shi, Yunqian Li, Xueyu Ma, Chuangxin Guo
Author Affiliations +
Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232921 (2022) https://doi.org/10.1117/12.2647090
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China
Abstract
In order to solve the problem of optimal operation and revenue distribution of multi-energy power stations (data centers, electric vehicle charging stations, distributed photovoltaics, wind power, and energy storage stations), this paper proposes a multi-station integration collaborative optimization strategy. First, exploring the energy supply mode for the data center under the multi-station integration scenario, and the subjects in the multi-station integraion mode are divided into three subjects: the power grid company, the equipment investor and the data center. Second, various deveices involved in multistation integration are modeled ,and the modeling of energy storage station is combined with special requirements for the reliability of the data center. Practical demand is taken into account in the modeling of charging station as the electric car is divided into three kinds of charging methods. Considering the randomness of electric vehicles, the interconnection time and initial SOC are randomly generated, and subject to the charging pile number and power limit. Later, optimal dispatch is carried out with the maximum benefit of the equipment investor as the objective function. Finally, the analysis of the results shows that the multi-station integration mode can bring benefits to the above three subjects, and it is a win-win mode, which has a development prospect.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yongming Xu, Jianxun Shi, Yunqian Li, Xueyu Ma, and Chuangxin Guo "Optimal dispatch based on multi-station integration scenarios", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232921 (7 September 2022); https://doi.org/10.1117/12.2647090
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KEYWORDS
Data centers

Solar energy

System on a chip

Photovoltaics

Absorption

Power supplies

Data modeling

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