Comparative Study of Data-driven Area Inertia Estimation Approaches on WECC Power Systems
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866914895922987008 |
|---|---|
| author | Tan, Bendong Peng, Jiangkai Gao, Ningchao Zhao, Junbo Tan, Jin |
| author_facet | Tan, Bendong Peng, Jiangkai Gao, Ningchao Zhao, Junbo Tan, Jin |
| contents | With the increasing integration of inverter-based resources into the power grid, there has been a notable reduction in system inertia, potentially compromising frequency stability. To assess the suitability of existing area inertia estimation techniques for real-world power systems, this paper presents a rigorous comparative analysis of system identification, measurement reconstruction, and electromechanical oscillation-based area inertia estimation methodologies, specifically applied to the large-scale and multi-area WECC 240-bus power system. Comprehensive results show that the system identification-based approach exhibits superior robustness and accuracy relative to its counterparts. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_00511 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Comparative Study of Data-driven Area Inertia Estimation Approaches on WECC Power Systems Tan, Bendong Peng, Jiangkai Gao, Ningchao Zhao, Junbo Tan, Jin Systems and Control With the increasing integration of inverter-based resources into the power grid, there has been a notable reduction in system inertia, potentially compromising frequency stability. To assess the suitability of existing area inertia estimation techniques for real-world power systems, this paper presents a rigorous comparative analysis of system identification, measurement reconstruction, and electromechanical oscillation-based area inertia estimation methodologies, specifically applied to the large-scale and multi-area WECC 240-bus power system. Comprehensive results show that the system identification-based approach exhibits superior robustness and accuracy relative to its counterparts. |
| title | Comparative Study of Data-driven Area Inertia Estimation Approaches on WECC Power Systems |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2408.00511 |