Experimentation in Exploring Photovoltaic Inverter Dynamics Under Different Irradiance Levels Through a Data-Driven Approach
As conventional direct connections of synchronous generators are being phased out, inverter-based resources (IBRs) with grid support functions are increasingly being integrated into power systems. This transition requires the development of accurate dynamic models for IBRs to predict how power syste...
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| Veröffentlicht in: | IEEE access 2024-01, Vol.12, p.164137-164150 |
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| creator | Poudel, Bidur Guruwacharya, Nischal Subedi, Sunil Tamrakar, Ujjwol Wilches-Bernal, Felipe Rekabdarkolaee, Hossein Moradi Hansen, Timothy M. Tonkoski, Reinaldo |
| description | As conventional direct connections of synchronous generators are being phased out, inverter-based resources (IBRs) with grid support functions are increasingly being integrated into power systems. This transition requires the development of accurate dynamic models for IBRs to predict how power systems will adapt to varying levels of IBRs penetration, establish grid code requirements, and ensure compliance. This study introduces an active probing signal-based data-driven modeling technique to accurately derive the dynamics model of a smart photovoltaic inverter operating in Volt-Watt and Freq-Watt modes, in compliance with the IEEE 1547-2018 standard. The paper focuses on investigating how the dynamics of the PV inverter model respond to fluctuations in solar irradiance, utilizing real-time digital simulator experimentation. The experimental analysis demonstrates that the amplitude of dynamics fluctuates with changes in irradiance across both operational modes and confirms the active power's dependence on irradiance levels. Furthermore, the nature of inverter dynamics varies distinctly between the different modes of activation. Critically, our findings indicate that dynamic models require DC-gain adjustments to accommodate contrasting irradiance levels, highlighting a negative gradient linear relationship between the DC-gain of each model and the irradiance. |
| doi_str_mv | 10.1109/ACCESS.2024.3488493 |
| format | Article |
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The experimental analysis demonstrates that the amplitude of dynamics fluctuates with changes in irradiance across both operational modes and confirms the active power's dependence on irradiance levels. Furthermore, the nature of inverter dynamics varies distinctly between the different modes of activation. Critically, our findings indicate that dynamic models require DC-gain adjustments to accommodate contrasting irradiance levels, highlighting a negative gradient linear relationship between the DC-gain of each model and the irradiance.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2024.3488493</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Adaptation models ; Chirp ; Computational modeling ; Data models ; Data-driven modeling ; Dynamic models ; Dynamics ; Experimentation ; IEEE 1547-2018 ; Inverters ; Irradiance ; Mathematical models ; Photovoltaic cells ; Power system dynamics ; Power system stability ; PV inverter dynamics ; Real time operation ; real-time digital simulator ; SOLAR ENERGY ; solar irradiance ; Synchronous machines ; Voltage measurement</subject><ispartof>IEEE access, 2024-01, Vol.12, p.164137-164150</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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(SNL-NM), Albuquerque, NM (United States)</creatorcontrib><title>Experimentation in Exploring Photovoltaic Inverter Dynamics Under Different Irradiance Levels Through a Data-Driven Approach</title><title>IEEE access</title><addtitle>Access</addtitle><description>As conventional direct connections of synchronous generators are being phased out, inverter-based resources (IBRs) with grid support functions are increasingly being integrated into power systems. This transition requires the development of accurate dynamic models for IBRs to predict how power systems will adapt to varying levels of IBRs penetration, establish grid code requirements, and ensure compliance. This study introduces an active probing signal-based data-driven modeling technique to accurately derive the dynamics model of a smart photovoltaic inverter operating in Volt-Watt and Freq-Watt modes, in compliance with the IEEE 1547-2018 standard. The paper focuses on investigating how the dynamics of the PV inverter model respond to fluctuations in solar irradiance, utilizing real-time digital simulator experimentation. The experimental analysis demonstrates that the amplitude of dynamics fluctuates with changes in irradiance across both operational modes and confirms the active power's dependence on irradiance levels. Furthermore, the nature of inverter dynamics varies distinctly between the different modes of activation. 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| subjects | Adaptation models Chirp Computational modeling Data models Data-driven modeling Dynamic models Dynamics Experimentation IEEE 1547-2018 Inverters Irradiance Mathematical models Photovoltaic cells Power system dynamics Power system stability PV inverter dynamics Real time operation real-time digital simulator SOLAR ENERGY solar irradiance Synchronous machines Voltage measurement |
| title | Experimentation in Exploring Photovoltaic Inverter Dynamics Under Different Irradiance Levels Through a Data-Driven Approach |
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