Consensus + Innovations Approach for Online Distributed Multi-Area Inertia Estimation
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| author | Lorenz-Meyer, Nicolai Würfel, Hans Schiffer, Johannes |
| author_facet | Lorenz-Meyer, Nicolai Würfel, Hans Schiffer, Johannes |
| contents | The reduction of overall system inertia in modern power systems due to the increasing deployment of distributed energy resources is generally recognized as a major issue for system stability. Consequently, real-time monitoring of system inertia is critical to ensure a reliable and cost-effective system operation. Large-scale power systems are typically managed by multiple transmission system operators, making it difficult to have a central entity with access to global measurement data, which is usually required for estimating the overall system inertia. We address this problem by proposing a fully distributed inertia estimation algorithm with rigorous analytical convergence guarantees. This method requires only peer-to-peer sharing of local parameter estimates between neighboring control areas, eliminating the need for a centralized collection of real-time measurements. We robustify the algorithm in the presence of typical power system disturbances and demonstrate its performance in simulations based on the well-known New England IEEE-39 bus system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_19569 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Consensus + Innovations Approach for Online Distributed Multi-Area Inertia Estimation Lorenz-Meyer, Nicolai Würfel, Hans Schiffer, Johannes Systems and Control The reduction of overall system inertia in modern power systems due to the increasing deployment of distributed energy resources is generally recognized as a major issue for system stability. Consequently, real-time monitoring of system inertia is critical to ensure a reliable and cost-effective system operation. Large-scale power systems are typically managed by multiple transmission system operators, making it difficult to have a central entity with access to global measurement data, which is usually required for estimating the overall system inertia. We address this problem by proposing a fully distributed inertia estimation algorithm with rigorous analytical convergence guarantees. This method requires only peer-to-peer sharing of local parameter estimates between neighboring control areas, eliminating the need for a centralized collection of real-time measurements. We robustify the algorithm in the presence of typical power system disturbances and demonstrate its performance in simulations based on the well-known New England IEEE-39 bus system. |
| title | Consensus + Innovations Approach for Online Distributed Multi-Area Inertia Estimation |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2404.19569 |