Paper
11 October 2023 Data center demand response potential assessment considering multiple types of flexible resources
Hui Xu, Yong Li, Hui Zhu, Ji Wang, Chenghao Hou
Author Affiliations +
Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 129181D (2023) https://doi.org/10.1117/12.3009383
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China
Abstract
This paper presents a method toevaluate the potential of data centers to involvement in power demand response, which is crucial for maintaining the equilibrium of supply and demand in the grid, promoting clean energy consumption, and mitigating energy crises. The data center is a valuable demand response resource due to its flexible adjustment methods, large load volume, and strong controllability, facilitated by its spatio-temporal scheduling mechanism. The proposed method considers multiple types of flexible resources and includes an analysis of data center participation demand response mechanisms, an evaluation model based on time series simulation optimization operation, and practical examples to verify its effectiveness.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hui Xu, Yong Li, Hui Zhu, Ji Wang, and Chenghao Hou "Data center demand response potential assessment considering multiple types of flexible resources", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 129181D (11 October 2023); https://doi.org/10.1117/12.3009383
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KEYWORDS
Data centers

Power grids

Data modeling

Power consumption

Power supplies

Renewable energy

Information technology

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