A Data-Driven Forced Oscillation Locating Method for Power Systems with Inverter-Based Resources
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866916914632065024 |
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| author | Cai, Yaojie Pierrou, Georgia Wang, Xiaozhe Joos, Geza |
| author_facet | Cai, Yaojie Pierrou, Georgia Wang, Xiaozhe Joos, Geza |
| contents | Forced Oscillations (FO) stemming from external periodic disturbances threaten power system security and stability. The increasing penetration of Inverter-Based Resources(IBRs) further introduces FO, leading to new challenges in identifying and locating FO sources in modern power systems. In this paper, a novel data-driven method for locating FO in power systems with IBRs is proposed. Unlike previous works, a unified representation of FO originating from IBRs is considered, which further facilitates the development of the FO locating algorithm. Leveraging on Sparse Identification for a Nonlinear Dynamical (SINDy), a purely data-driven methodology is developed for locating the source of FO by interpreting the proposed model from measurements. Numerical results on the WECC 240-bus system validate the performance of the proposed approach in successfully locating FO in the presence of IBRs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_17505 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Data-Driven Forced Oscillation Locating Method for Power Systems with Inverter-Based Resources Cai, Yaojie Pierrou, Georgia Wang, Xiaozhe Joos, Geza Systems and Control Forced Oscillations (FO) stemming from external periodic disturbances threaten power system security and stability. The increasing penetration of Inverter-Based Resources(IBRs) further introduces FO, leading to new challenges in identifying and locating FO sources in modern power systems. In this paper, a novel data-driven method for locating FO in power systems with IBRs is proposed. Unlike previous works, a unified representation of FO originating from IBRs is considered, which further facilitates the development of the FO locating algorithm. Leveraging on Sparse Identification for a Nonlinear Dynamical (SINDy), a purely data-driven methodology is developed for locating the source of FO by interpreting the proposed model from measurements. Numerical results on the WECC 240-bus system validate the performance of the proposed approach in successfully locating FO in the presence of IBRs. |
| title | A Data-Driven Forced Oscillation Locating Method for Power Systems with Inverter-Based Resources |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2508.17505 |