Research on the application of CPU control system based on ARM processor in power system

Wuqiang Shen; Zhenyue Long; Guiquan Shen; Lei Cui; Xiaolu Zhang

doi:10.1117/12.3038001

7 August 2024 Research on the application of CPU control system based on ARM processor in power system

Wuqiang Shen, Zhenyue Long, Guiquan Shen, Lei Cui, Xiaolu Zhang

Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 1322925 (2024) https://doi.org/10.1117/12.3038001
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China

Abstract

Due to the existence of a large number of different brands and models of equipment and systems in the power system, the CPU control system in the power system is prone to system integration and compatibility problems. In order to ensure the smooth application of CPU control system in electric power system, the research on the application of CPU control system in electric power system based on ARM processor is proposed. The CPU control system architecture of ARM processor is established, and the irregular characteristics and task attributes of computational tasks such as sparse matrix operations in power system topology analysis are analyzed. Subsequently, a general optimization criterion for GPU parallel algorithm design is proposed. Experimental results show that the above CPU control system for topology analysis algorithms in power systems achieves a 6-fold acceleration ratio relative to the 8-threaded CPU algorithm on a 30,000-node system, and more than a 4-fold acceleration in the full process of topology analysis.

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

Citation Download Citation

Wuqiang Shen, Zhenyue Long, Guiquan Shen, Lei Cui, and Xiaolu Zhang "Research on the application of CPU control system based on ARM processor in power system", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 1322925 (7 August 2024); https://doi.org/10.1117/12.3038001

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KEYWORDS

Control systems

Matrices

Process control

Computer architecture

Power grids

Telecommunications

Computing systems

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