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| Modelling of Commercial Grid-Connected PV Inverters Based on Transient Analysis and System Identification |
| Weng Gongyu1, Mao Meiqin1, Zhang Liuchen1,2, Nikos Hatziargyriou3 |
1. Research Center for Photovoltaic System Engineering MOE Hefei University of Technology Hefei 230009 China;
2. School of Electrical and Computer Engineering University of New Brunswick Fredericton E3B5A3 Canada;
3. School of Electrical and Computer Engineering National Technical University of Athens Athens 15780 Greece |
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Abstract The modelling of grid-connected photovoltaic (PV) generation systems is the basis for studying their interaction with the grid. The transients of PV systems are determined by weather and grid conditions, as well as the characteristics of commercial inverters, whose topology and control algorithm are usually unknown. This hinders the analysis of the impacts that PV systems might have on the grid. For this purpose, a generic process for modelling PV systems based on transient analysis and system identification is presented. By viewing a PV system as a black-box without knowledge of its internal components, structure or control algorithm, the model was established through measured input-output data and system identification. Transfer functions were taken as the model structure based on classic control theories. A power hardware-in-the-loop system was used to verify the process by collecting instantaneous input-output data from the terminals of a commercial 3kW PV inverter. The results show that the developed model reproduces accurately the transients of the inverter under various disturbances, demonstrating the effectiveness of this generic modelling process.
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Received: 19 March 2020
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| Fund:Fun:This work is partially supported by the Natural Science Foundation of China (51677050) and the China Scholarship Council. |
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Corresponding Authors:
Mao Meiqin female, born in 1961, associate professor, M.S. advisor. Major interests include precision and super-precision measurement, modeling and control for electromechanical system. E-mail: mmqmail@163.com
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| About author:: Weng Gongyu male, born in 1992, master degree candidate. Major interests include modelling and testing of photovoltaic generation system, system identification. E-mail: wgongyu92@163.com |
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2021, Vol. 36 
