Design and implementation of substation data configuration software based on BS/CS architecture

Xuan Wang; Liang Lv; Changming Ge; Deshun Jia; Jian Cheng; Rui Zhang

doi:10.1117/12.3024209

13 May 2024 Design and implementation of substation data configuration software based on BS/CS architecture

Xuan Wang, Liang Lv, Changming Ge, Deshun Jia, Jian Cheng, Rui Zhang

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131590J (2024) https://doi.org/10.1117/12.3024209
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

The rapid development of the power system underscores the growing significance of substation monitoring and management. Real-time monitoring and management of diverse data at substations are crucial for ensuring the stable operation of the power system. However, traditional single-architecture configuration software falls short of meeting practical demands. In response, this research proposes a hybrid architecture-based substation data configuration software design approach, incorporating both B/S (Browser/Server) and C/S (Client/Server) architectures. This approach is aimed at enhancing data presentation, addressing the need for data sharing, and facilitating the reuse of system configuration tools. Through a series of experiments, it demonstrates exceptional performance in terms of data processing speed, system stability, remote access capability, data sharing, and system configuration tool reuse. It offers robust support for technical development and applications in the power system monitoring domain.

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

Citation Download Citation

Xuan Wang, Liang Lv, Changming Ge, Deshun Jia, Jian Cheng, and Rui Zhang "Design and implementation of substation data configuration software based on BS/CS architecture", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131590J (13 May 2024); https://doi.org/10.1117/12.3024209

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