Applying Bayesian Approach in Real-Time Monitoring of Converter-Driven Oscillation
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A4 Artikkeli konferenssijulkaisussa
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en
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5
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Proceedings of 2023 IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2023
Abstract
Increased use of wind and solar power is leading to significant changes in various properties of power systems. As these inverter-based resources are replacing synchronous generators, the existing dynamic characteristics of power systems change, and new stability phenomena are introduced in the system. Especially, converter-driven stability and oscillations caused by converters are an urgent and growing concern in power systems. Consequently, it is highly important to develop methods for detecting and monitoring converter-driven oscillations. This paper proposes a Bayesian approach for monitoring converter-driven oscillations. The approach utilizes ambient measurements and is able to identify the modal parameters (such as frequency and damping ratio) of the converter-driven oscillations continuously, in real-time. The performance of the proposed method is validated with measurements from two real-life events observed in the Finnish power system. The results show that the proposed approach is highly effective in rapidly detecting and monitoring converter-driven oscillations. It is recommended that transmission system operators implement a real-time monitoring method, such as the method proposed in this paper, for detecting and monitoring converter-driven oscillations.Description
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Cheng, H L 2024, Applying Bayesian Approach in Real-Time Monitoring of Converter-Driven Oscillation. in Proceedings of 2023 IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2023. IEEE, IEEE PES Innovative Smart Grid Technologies Conference Europe, Dubrovnik, Croatia, 14/10/2024. https://doi.org/10.1109/ISGTEUROPE56780.2023.10407200