Development and implementation of an online analysis platform for sub/ultra synchronous oscillations

Haohui Xu; Xi Wu; Qiang Li; Bixing Ren; Ke Xu

doi:10.1117/12.3030683

5 June 2024 Development and implementation of an online analysis platform for sub/ultra synchronous oscillations

Haohui Xu, Xi Wu, Qiang Li, Bixing Ren, Ke Xu

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131636A (2024) https://doi.org/10.1117/12.3030683
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

In the context of the new power system, the phenomenon of random and uncertain sub/super-synchronous oscillations is addressed in this paper. This article uses Matlab and Java to develop an online analysis software for sub synchronous oscillations. The system encompasses fundamental configuration management, including real-time data monitoring, data querying, data analysis, and alert management. During system operation, an evaluation of the risk of sub/super-synchronous oscillations is conducted by analyzing actual voltage and current measurement data from the power system. The results of the oscillation tracing are then displayed on the main analysis page. Users can easily configure system basic information and perform online analysis through relatively simple form controls. Debugging runs have shown that the system can effectively achieve remote analysis and timely alert notifications, enabling real-time utilization of power grid operational data and significantly improving work efficiency.

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

Citation Download Citation

Haohui Xu, Xi Wu, Qiang Li, Bixing Ren, and Ke Xu "Development and implementation of an online analysis platform for sub/ultra synchronous oscillations", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131636A (5 June 2024); https://doi.org/10.1117/12.3030683

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