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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.17512 |
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| _version_ | 1866916705941323776 |
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| author | Intriago, Andres Paspatis, Alexandros Liberati, Francesco Konstantinou, Charalambos |
| author_facet | Intriago, Andres Paspatis, Alexandros Liberati, Francesco Konstantinou, Charalambos |
| contents | The increasing integration of inverter-based resources (IBRs) into the power grid introduces new challenges, requiring detailed electromagnetic transient (EMT) studies to analyze system interactions. Despite these needs, access to the internal firmware of power electronic devices remains restricted due to stringent nondisclosure agreements enforced by manufacturers. To address this, we explore three system identification techniques: sweep frequency response analysis (SFRA), step excitation method (SEM), and eigensystem realization algorithm (ERA). SFRA employs sinusoidal signals of varying frequencies to measure the system's frequency response, while SEM and ERA utilize step functions to derive time-domain responses and transform them into Laplace-domain transfer functions. All three approaches are shown to provide consistent results in identifying the dq admittance of grid-forming inverters (GFM) over a frequency range of 1 Hz to 100 Hz. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_17512 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Admittance Identification of Grid-Forming Inverters Using Time and Frequency-Domain Techniques Intriago, Andres Paspatis, Alexandros Liberati, Francesco Konstantinou, Charalambos Systems and Control The increasing integration of inverter-based resources (IBRs) into the power grid introduces new challenges, requiring detailed electromagnetic transient (EMT) studies to analyze system interactions. Despite these needs, access to the internal firmware of power electronic devices remains restricted due to stringent nondisclosure agreements enforced by manufacturers. To address this, we explore three system identification techniques: sweep frequency response analysis (SFRA), step excitation method (SEM), and eigensystem realization algorithm (ERA). SFRA employs sinusoidal signals of varying frequencies to measure the system's frequency response, while SEM and ERA utilize step functions to derive time-domain responses and transform them into Laplace-domain transfer functions. All three approaches are shown to provide consistent results in identifying the dq admittance of grid-forming inverters (GFM) over a frequency range of 1 Hz to 100 Hz. |
| title | Admittance Identification of Grid-Forming Inverters Using Time and Frequency-Domain Techniques |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2504.17512 |