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| Format: | Preprint |
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2026
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| Online-Zugang: | https://arxiv.org/abs/2604.16222 |
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| _version_ | 1866910140140093440 |
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| author | Challa, Kiran Kumar Bharati, Alok Kumar Ajjarapu, Venkataramana |
| author_facet | Challa, Kiran Kumar Bharati, Alok Kumar Ajjarapu, Venkataramana |
| contents | With a steady increase in the inverter technology integration to the grid, frequency response of the large inter-connection system becomes more unpredictable. This leads to a significant change in the boundaries of the coherent region, which highly depends on the changing disturbance locations and operating conditions. While most of the existing coherency identification is based on a single large generator outage, it is important to identify these boundaries in view of wide range of disturbances. With large amount of inverters in the system, there is increase in the dynamic interactions of the various grid components leading to a need for such boundary identification. This paper presents the multi-view consensus algorithm to identify coherency in the case of variable grid operating conditions and wide range of disturbances. The proposed approach is demonstrated by identifying the coherent regions in the miniWECC 240 bus test system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_16222 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Consensus Clustering for the Identification of Coherent Regions with Varied Generation Mix Challa, Kiran Kumar Bharati, Alok Kumar Ajjarapu, Venkataramana Systems and Control With a steady increase in the inverter technology integration to the grid, frequency response of the large inter-connection system becomes more unpredictable. This leads to a significant change in the boundaries of the coherent region, which highly depends on the changing disturbance locations and operating conditions. While most of the existing coherency identification is based on a single large generator outage, it is important to identify these boundaries in view of wide range of disturbances. With large amount of inverters in the system, there is increase in the dynamic interactions of the various grid components leading to a need for such boundary identification. This paper presents the multi-view consensus algorithm to identify coherency in the case of variable grid operating conditions and wide range of disturbances. The proposed approach is demonstrated by identifying the coherent regions in the miniWECC 240 bus test system. |
| title | Consensus Clustering for the Identification of Coherent Regions with Varied Generation Mix |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2604.16222 |