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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| Online-Zugang: | https://arxiv.org/abs/2605.28403 |
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| _version_ | 1866917540441096192 |
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| author | Chandrasekaran, Sanjay Dörfler, Florian Mastellone, Silvia |
| author_facet | Chandrasekaran, Sanjay Dörfler, Florian Mastellone, Silvia |
| contents | We propose a decentralized, frequency-domain identification algorithm that estimates the grid-equivalent model from the perspective of local converters. Since local electric signals in a multi-converter setup are affected by voltage inputs from other converters, considered as the grid, estimating a single apparent impedance yields biased and inaccurate results. To overcome this, we design a framework that decouples the effect of the equivalent impedance (passive) from that of the equivalent voltage (active). The parameters and equivalent grid voltages are then estimated using a constrained least squares and a Kalman filter algorithm, respectively, applied across frequency samples. We then demonstrate the accuracy and performance of our algorithm on an interconnected 5-converter system in grid-forming mode, with minimal voltage excitations and non-ideal operating conditions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_28403 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Gray-Box Approach for Decentralized Grid-Equivalent Model Identification Chandrasekaran, Sanjay Dörfler, Florian Mastellone, Silvia Signal Processing We propose a decentralized, frequency-domain identification algorithm that estimates the grid-equivalent model from the perspective of local converters. Since local electric signals in a multi-converter setup are affected by voltage inputs from other converters, considered as the grid, estimating a single apparent impedance yields biased and inaccurate results. To overcome this, we design a framework that decouples the effect of the equivalent impedance (passive) from that of the equivalent voltage (active). The parameters and equivalent grid voltages are then estimated using a constrained least squares and a Kalman filter algorithm, respectively, applied across frequency samples. We then demonstrate the accuracy and performance of our algorithm on an interconnected 5-converter system in grid-forming mode, with minimal voltage excitations and non-ideal operating conditions. |
| title | A Gray-Box Approach for Decentralized Grid-Equivalent Model Identification |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2605.28403 |