Abstract
This paper investigates the impact of quadrature signal generation based phase-locked loop (QSG-PLL) methods on data-driven modeling of grid-connected single-phase inverters (GCSI). The magnitudes of the grid voltage and current injected by a GCSI simulated in MATLAB/Simulink are estimated by each QSG-PLL approach. The best transfer function for the GCSI model is estimated in terms of goodness of fit, using the magnitudes obtained by each approach and the instrument variable system identification approach. Different grid disturbances (e.g., voltage sag, phase angle jumps, harmonic distortions, frequency fluctuation) are used to evaluate the performance of each data-driven model in comparison to the simulated model. The paper provides researchers guidance on which QSG-PLL to use to model GCSIs using data-driven methods.
Original language | English |
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Title of host publication | 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 930-935 |
Number of pages | 6 |
ISBN (Electronic) | 9781665484596 |
DOIs | |
State | Published - 2022 |
Externally published | Yes |
Event | 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022 - Sorrento, Italy Duration: Jun 22 2022 → Jun 24 2022 |
Publication series
Name | 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022 |
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Conference
Conference | 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022 |
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Country/Territory | Italy |
City | Sorrento |
Period | 06/22/22 → 06/24/22 |
Funding
This work is supported by the U.S. Department of Energy Office of Science, Office of Electricity Microgrid R&D Program, and Office of Energy Efficiency and Renewable Energy Solar Energy Technology Office under the EPSCoR grant number DE-SC0020281. This work is supported by the U.S. Department of Energy Office of Science, Office of Electricity Microgrid R&D Program, and Office of Energy Efficiency and Renewable Energy Solar Energy Technology Office under the EPSCoR grant number DE-SC0020281. The authors would like to thank Nishcal Guruwacharya, Harish Bhandari, and Sheroze Liaquat from SDSU for reviewing the content and their valuable technical input to the paper.
Keywords
- Data-driven
- phase-locked loop
- quadrature signal generation
- single-phase inverter
- systems identification