Impact of PLL Design on Data-Driven Models for Grid-Connected Single-Phase Inverters

Sunil Subedi, Robert Fourney, Hossein Moradi Rekabdarkolaee, Reinaldo Tonkoski, Timothy M. Hansen, Jesus D. Vasquez-Plaza, Fabio Andrade

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

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 languageEnglish
Title of host publication2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages930-935
Number of pages6
ISBN (Electronic)9781665484596
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022 - Sorrento, Italy
Duration: Jun 22 2022Jun 24 2022

Publication series

Name2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022

Conference

Conference2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022
Country/TerritoryItaly
CitySorrento
Period06/22/2206/24/22

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.

FundersFunder number
Office of Electricity Microgrid R&D Program
Office of Energy Efficiency and Renewable Energy Solar Energy Technology Office
Office of Experimental Program to Stimulate Competitive ResearchDE-SC0020281
Office of Science
San Diego State University
Solar Energy Technologies Office

    Keywords

    • Data-driven
    • phase-locked loop
    • quadrature signal generation
    • single-phase inverter
    • systems identification

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