Computing power dispatching method of power grid cloud platform based on distributed computing

Ruiting Qu; Fei Wang; Lin Qiao; Shuo Chen; Zhuangguan Yang; Yuanqi Yu

doi:10.1117/12.3038316

7 August 2024 Computing power dispatching method of power grid cloud platform based on distributed computing

Ruiting Qu, Fei Wang, Lin Qiao, Shuo Chen, Zhuangguan Yang, Yuanqi Yu

Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 132291A (2024) https://doi.org/10.1117/12.3038316
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China

Abstract

To realize the effectiveness and real-time of computing power scheduling of power grid cloud platform, this paper proposes a load forecasting and computing power scheduling method of power grid cloud platform based on distributed computing. The short-term and ultra-short-term computing power of each virtual resource pool load task is predicted. Based on the decomposition-ensemble model, LSTM (long short-term memory) model and XGBoost model are used to predict the computing power. The cloud platform center server groups each virtual resource pool according to the prediction curve, and only the virtual resource pool in the same group can carry out resource scheduling and information transmission. The scheduling method is verified by experiments, and the test results are good.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ruiting Qu, Fei Wang, Lin Qiao, Shuo Chen, Zhuangguan Yang, and Yuanqi Yu "Computing power dispatching method of power grid cloud platform based on distributed computing", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 132291A (7 August 2024); https://doi.org/10.1117/12.3038316

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