Data-driven Modeling of Commercial Photovoltaic Inverter Dynamics Using Power Hardware-in-the-Loop

Nischal Guruwacharya; Harish Bhandari; Sunil Subedi; Jesus D. Vasquez-Plaza; Matthew Lee Stoel; Ujjwol Tamrakar; Felipe Wilches-Bernal; Fabio Andrade; Timothy M. Hansen; Reinaldo Tonkoski

doi:10.1109/SPEEDAM53979.2022.9842001

Data-driven Modeling of Commercial Photovoltaic Inverter Dynamics Using Power Hardware-in-the-Loop

Nischal Guruwacharya, Harish Bhandari, Sunil Subedi, Jesus D. Vasquez-Plaza, Matthew Lee Stoel, Ujjwol Tamrakar, Felipe Wilches-Bernal, Fabio Andrade, Timothy M. Hansen, Reinaldo Tonkoski

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Grid technologies connected via power electronic converter (PEC) interfaces increasingly include the grid support functions for voltage and frequency support defined by the IEEE 1547-2018 standard. The shift towards converter-based generation necessitates accurate PEC models for assessing system dynamics that were previously ignored in conventional power systems. In this paper, a method for assessing photovoltaic (PV) inverter dynamics using a data-driven technique with power hardware-in-the-loop is presented. The data-driven modeling technique uses various probing signals to estimate commercial off-the-shelf (COTS) inverter dynamics. The MATLAB system identification toolbox is used to develop a dynamic COTS inverter model from the perturbed grid voltage (i.e., probing signal) and measured current injected to the grid by the inverter. The goodness-of-fit of COTS inverter dynamics in Volt-VAr support mode under each probing signal is compared. The results show that the logarithmic square-chirp probing signal adequately excites the COTS inverter in Volt-VAr mode to fit a data-driven dynamic model.

Original language	English
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	924-929
Number of pages	6
ISBN (Electronic)	9781665484596
DOIs	https://doi.org/10.1109/SPEEDAM53979.2022.9842001
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

Conference

Conference	2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022
Country/Territory	Italy
City	Sorrento
Period	06/22/22 → 06/24/22

Funding

Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy National Nuclear Security Administration under contract DE-NA-0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government. SAND2022-5335 C. This work is supported by the U.S. Department of Energy Office of Science, Office of Basic Energy Sciences, EPSCoR Program; and Office of Energy Efficiency and Renewable Energy, Solar Energy Technology Office under EPSCoR grant number DE-SC0020281. This work made use of the Opal-RT real-time simulator purchased as part of the National Science Foundation (NSF) grant number MRI-1726964. The work at Sandia (Ujjwol Tamrakar) is supported by the US Department of Energy, Office of Electricity, Energy Storage Program. This work is supported by the U.S. Department of Energy Office of Science, Office of Basic Energy Sciences, EPSCoR Program; and Office of Energy Efficiency and Renewable Energy, Solar Energy Technology Office under EPSCoR grant number DE-SC0020281. This work made use of the Opal- RT real-time simulator purchased as part of the National Science Foundation (NSF) grant number MRI-1726964. The work at Sandia (Ujjwol Tamrakar) is supported by the US Department of Energy, Office of Electricity, Energy Storage Program. Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy National Nuclear Security Administration under contract DE-NA-0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government. SAND2022-5335 C. The authors would like to thank Dr. Atri Bera from Sandia National Laboratories and Niranjan Bhujel from SDSU for their technical review of this paper.

Keywords

Data-driven modeling
grid support functions
power hardware-in-the-loop
real-time digital simulator
system identification

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SPEEDAM53979.2022.9842001

Cite this

Guruwacharya, N., Bhandari, H., Subedi, S., Vasquez-Plaza, J. D., Stoel, M. L., Tamrakar, U., Wilches-Bernal, F., Andrade, F., Hansen, T. M., & Tonkoski, R. (2022). Data-driven Modeling of Commercial Photovoltaic Inverter Dynamics Using Power Hardware-in-the-Loop. In 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022 (pp. 924-929). (2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPEEDAM53979.2022.9842001

Guruwacharya, Nischal ; Bhandari, Harish ; Subedi, Sunil et al. / Data-driven Modeling of Commercial Photovoltaic Inverter Dynamics Using Power Hardware-in-the-Loop. 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 924-929 (2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022).

@inproceedings{a6f2cd13f18a43c3bb972dbae23a7a77,

title = "Data-driven Modeling of Commercial Photovoltaic Inverter Dynamics Using Power Hardware-in-the-Loop",

abstract = "Grid technologies connected via power electronic converter (PEC) interfaces increasingly include the grid support functions for voltage and frequency support defined by the IEEE 1547-2018 standard. The shift towards converter-based generation necessitates accurate PEC models for assessing system dynamics that were previously ignored in conventional power systems. In this paper, a method for assessing photovoltaic (PV) inverter dynamics using a data-driven technique with power hardware-in-the-loop is presented. The data-driven modeling technique uses various probing signals to estimate commercial off-the-shelf (COTS) inverter dynamics. The MATLAB system identification toolbox is used to develop a dynamic COTS inverter model from the perturbed grid voltage (i.e., probing signal) and measured current injected to the grid by the inverter. The goodness-of-fit of COTS inverter dynamics in Volt-VAr support mode under each probing signal is compared. The results show that the logarithmic square-chirp probing signal adequately excites the COTS inverter in Volt-VAr mode to fit a data-driven dynamic model.",

keywords = "Data-driven modeling, grid support functions, power hardware-in-the-loop, real-time digital simulator, system identification",

author = "Nischal Guruwacharya and Harish Bhandari and Sunil Subedi and Vasquez-Plaza, {Jesus D.} and Stoel, {Matthew Lee} and Ujjwol Tamrakar and Felipe Wilches-Bernal and Fabio Andrade and Hansen, {Timothy M.} and Reinaldo Tonkoski",

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year = "2022",

doi = "10.1109/SPEEDAM53979.2022.9842001",

language = "English",

series = "2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022",

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Guruwacharya, N, Bhandari, H, Subedi, S, Vasquez-Plaza, JD, Stoel, ML, Tamrakar, U, Wilches-Bernal, F, Andrade, F, Hansen, TM & Tonkoski, R 2022, Data-driven Modeling of Commercial Photovoltaic Inverter Dynamics Using Power Hardware-in-the-Loop. in 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022. 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022, Institute of Electrical and Electronics Engineers Inc., pp. 924-929, 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022, Sorrento, Italy, 06/22/22. https://doi.org/10.1109/SPEEDAM53979.2022.9842001

Data-driven Modeling of Commercial Photovoltaic Inverter Dynamics Using Power Hardware-in-the-Loop. / Guruwacharya, Nischal; Bhandari, Harish; Subedi, Sunil et al.
2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 924-929 (2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Guruwacharya, Nischal

AU - Bhandari, Harish

AU - Subedi, Sunil

AU - Vasquez-Plaza, Jesus D.

AU - Stoel, Matthew Lee

AU - Tamrakar, Ujjwol

AU - Wilches-Bernal, Felipe

AU - Andrade, Fabio

AU - Hansen, Timothy M.

AU - Tonkoski, Reinaldo

PY - 2022

Y1 - 2022

N2 - Grid technologies connected via power electronic converter (PEC) interfaces increasingly include the grid support functions for voltage and frequency support defined by the IEEE 1547-2018 standard. The shift towards converter-based generation necessitates accurate PEC models for assessing system dynamics that were previously ignored in conventional power systems. In this paper, a method for assessing photovoltaic (PV) inverter dynamics using a data-driven technique with power hardware-in-the-loop is presented. The data-driven modeling technique uses various probing signals to estimate commercial off-the-shelf (COTS) inverter dynamics. The MATLAB system identification toolbox is used to develop a dynamic COTS inverter model from the perturbed grid voltage (i.e., probing signal) and measured current injected to the grid by the inverter. The goodness-of-fit of COTS inverter dynamics in Volt-VAr support mode under each probing signal is compared. The results show that the logarithmic square-chirp probing signal adequately excites the COTS inverter in Volt-VAr mode to fit a data-driven dynamic model.

AB - Grid technologies connected via power electronic converter (PEC) interfaces increasingly include the grid support functions for voltage and frequency support defined by the IEEE 1547-2018 standard. The shift towards converter-based generation necessitates accurate PEC models for assessing system dynamics that were previously ignored in conventional power systems. In this paper, a method for assessing photovoltaic (PV) inverter dynamics using a data-driven technique with power hardware-in-the-loop is presented. The data-driven modeling technique uses various probing signals to estimate commercial off-the-shelf (COTS) inverter dynamics. The MATLAB system identification toolbox is used to develop a dynamic COTS inverter model from the perturbed grid voltage (i.e., probing signal) and measured current injected to the grid by the inverter. The goodness-of-fit of COTS inverter dynamics in Volt-VAr support mode under each probing signal is compared. The results show that the logarithmic square-chirp probing signal adequately excites the COTS inverter in Volt-VAr mode to fit a data-driven dynamic model.

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KW - power hardware-in-the-loop

KW - real-time digital simulator

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Guruwacharya N, Bhandari H, Subedi S, Vasquez-Plaza JD, Stoel ML, Tamrakar U et al. Data-driven Modeling of Commercial Photovoltaic Inverter Dynamics Using Power Hardware-in-the-Loop. In 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 924-929. (2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2022). doi: 10.1109/SPEEDAM53979.2022.9842001

Data-driven Modeling of Commercial Photovoltaic Inverter Dynamics Using Power Hardware-in-the-Loop

Abstract

Publication series

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Keywords

UN SDGs

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