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  4. High-Power Closed-Loop SMPC-Based Photovoltaic System Characterization under Varying Ambient Conditions

High-Power Closed-Loop SMPC-Based Photovoltaic System Characterization under Varying Ambient Conditions

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Author(s)
Bharadwaj, Pallavi
Date Issued
August 26, 2021
Journal
Energies
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Energies 14 (17): 5296 (2021)
Version
Final published version
Abstract
Photovoltaic energy generation potential can be tapped with maximum efficacy by characterizing the source behaviour. Characterization refers to the systematic terminal measurement-based PV modeling which can further facilitate output prediction and fault detection. Most of the existing PV characterization methods fail for high-power PV array due to increased thermal losses in electronic components. Here, we propose a switched-mode power converter-based PV characterization setup which is designed with input filter to limit switching ripple entering into PV array under test, thereby enhancing system life and efficiency. The high resonant frequency input filter ensures its compactness with high-speed characterization capability. To further enhance the system performance, a closed-loop current control of the system is designed for high bandwidth and stable phase margins. Variation of the controller parameters under varying ambient conditions of 200–1000 W/m2 irradiation and 25–70 ∘C temperature is documented and an adaptive PI controller is proposed. Experimental and simulation results validate the high performance of the closed loop operation of the PV characterization at 1.2 kW range power level in real-time field conditions. Compared to the open loop operation, the closed-loop operation eliminates the waveform ringing by 100% during characterization.
MIT Department
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Terms of Use
Creative Commons Attribution
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/136691.2
DOI of Published Version
https://doi.org/10.3390/en14175296
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