LAPSE:2023.24591
Published Article
LAPSE:2023.24591
Modeling and Parameter Optimization of Grid-Connected Photovoltaic Systems Considering the Low Voltage Ride-through Control
Li Wang, Teng Qiao, Bin Zhao, Xiangjun Zeng, Qing Yuan
March 28, 2023
The asymmetric faults often cause the power grid current imbalance and power grid oscillation, which brings great instability risk to the power grid. To address this problem, this paper presented a modeling and parameter optimization method of grid-connected photovoltaic (PV) systems, considering the low voltage ride-through (LVRT) control. The harmonics of the grid current under asymmetric faults were analyzed based on the negative-sequence voltage feedforward control method. The notch filter was added to the voltage loop to filter out the harmonic components of the DC bus voltage and reduce the harmonic contents of the given grid current value. The proportional resonant (PR) controller was added to the current loop. The combination of these two components could reduce the 3rd, 5th, and 7th harmonics of the grid current and the output power fluctuation. Then, the parameters of the inverter controller were identified by the adaptive differential evolution (ADE) algorithm based on the sensitivity analysis. The effectiveness of the proposed method was compared with two other strategies under the asymmetric grid faults. The suppression of DC bus voltage fluctuation, power fluctuation, and low-order harmonics of the grid current all had better results, ensuring the safe and stable operation of the PV plant under grid faults.
Keywords
asymmetrical fault, harmonic analysis, parameter identification, photovoltaic systems
Suggested Citation
Wang L, Qiao T, Zhao B, Zeng X, Yuan Q. Modeling and Parameter Optimization of Grid-Connected Photovoltaic Systems Considering the Low Voltage Ride-through Control. (2023). LAPSE:2023.24591
Author Affiliations
Wang L: Hunan Province Key Laboratory of Smart Grids Operation and Control, School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China; Key Laboratory of Renewable Energy Electric-Technology of Hunan Pr
Qiao T: Hunan Province Key Laboratory of Smart Grids Operation and Control, School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
Zhao B: Hunan Province Key Laboratory of Smart Grids Operation and Control, School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China; Tibet Autonomous Region Energy Research Demonstration Center, Lhas
Zeng X: Hunan Province Key Laboratory of Smart Grids Operation and Control, School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
Yuan Q: Hunan Province Key Laboratory of Smart Grids Operation and Control, School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
Journal Name
Energies
Volume
13
Issue
15
Article Number
E3972
Year
2020
Publication Date
2020-08-02
Published Version
ISSN
1996-1073
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PII: en13153972, Publication Type: Journal Article
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LAPSE:2023.24591
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doi:10.3390/en13153972
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