Design of power grid full-service data monitoring platform based on cloud computing

Wei Li; Li Zhang; Junxiang Duan; Lu Cao; Tao Guo

doi:10.1117/12.2679302

8 May 2023 Design of power grid full-service data monitoring platform based on cloud computing

Wei Li, Li Zhang, Junxiang Duan, Lu Cao, Tao Guo

Proceedings Volume 12635, Second International Conference on Algorithms, Microchips, and Network Applications (AMNA 2023); 1263504 (2023) https://doi.org/10.1117/12.2679302
Event: International Conference on Algorithms, Microchips, and Network Applications 2023, 2023, Zhengzhou, China

Abstract

The use of power monitoring and management system in power enterprises has significantly improved the convenience, fault tolerance, and related economic income of power grid in power supply. At present, there are still many problems in the management system, such as the lack of unified planning. Many functions related to power monitoring and management often need a lot of software to be repeatedly installed in the system to complete the functions required by customers. Meanwhile, this software often has duplicate functions. Power data cannot be shared, and the upgrade of the system will encounter many obstacles. To meet the data communication requirements of component-based power monitoring and management system, this paper applies the characteristics of multi-point distribution and real-time and efficient transmission of data based on model-based information transmission. It also applies component-based data monitoring technology to complete the design. For the power data content of monitoring and calculation, a reusable framework is applied to facilitate user expansion. Users can complete the interface layout by dragging controls on the control interface of the power monitoring and management system, and then realize data customization and saving by binding the database. Finally, the monitoring of the power grid data platforms under cloud service is realized, which is conducive to the effective and timely processing of blowout power grid data. It is of great significance to the safe and stable operation of the power system.

Citation Download Citation

Wei Li, Li Zhang, Junxiang Duan, Lu Cao, and Tao Guo "Design of power grid full-service data monitoring platform based on cloud computing", Proc. SPIE 12635, Second International Conference on Algorithms, Microchips, and Network Applications (AMNA 2023), 1263504 (8 May 2023); https://doi.org/10.1117/12.2679302

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KEYWORDS

Clouds

Power grids

Distributed computing

Data modeling

Data processing

Design and modelling

Education and training

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