研究目的
Investigating the effects of adding virtual inertia on the performance of a photovoltaic system and studying the impact of changing system and VSG parameters on overall performance.
研究成果
The application of VSG control significantly enhances the performance of a PV-fed system by reducing overshoot, steady-state error, and settling time. Appropriate parameter changes can further improve system stability. The experimental results validate the simulation findings, demonstrating the effectiveness of VSG control in enhancing system performance.
研究不足
The study focuses on an isolated system fed from a PV source, and the results may vary in different grid configurations or with other types of renewable energy sources. The experimental setup is limited to a laboratory model, and real-world applications may present additional challenges.
1：Experimental Design and Method Selection:
The study employs the virtual synchronous generator (VSG) control method as an inverter control technique to add virtual inertia to the system. The swing equation model is used to simulate the inertial response of synchronous generators.
2：Sample Selection and Data Sources:
The system is tested with a photovoltaic (PV) source, and the performance is evaluated under disturbances simulated by load disconnection.
3：List of Experimental Equipment and Materials:
MATLAB/SIMULINK software for simulation, DSP-based laboratory model for experimental verification, PV panel, DC/AC converter, DC-link capacitor, AC-side inductors and capacitors, resistive load bank, and transducers for measuring voltages and currents.
4：Experimental Procedures and Operational Workflow:
The system's response to disturbances is analyzed with and without VSG control. The effect of changing system parameters (DC-link inductor, DC-link capacitor, moment of inertia, damping factor, AC-side inductor, and AC-side capacitor) on performance is studied.
5：Data Analysis Methods:
The performance is evaluated based on overshoot magnitude, settling time, and steady-state error in frequency and active power responses.
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MATLAB/SIMULINK
MathWorks
Simulation and modeling of the system performance with/without adding virtual inertia control technique.
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dSPACE DS1104
DS1104
dSPACE
Implementation of a real-time control interface with MATLAB software.
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PV panel
Source of renewable energy for the system.
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DC/AC converter
Conversion of DC power from the PV panel to AC power for the load.
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DC-link capacitor
Filtering and energy storage in the DC side of the system.
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AC-side inductors and capacitors
Filtering in the AC side of the system to smooth the waves and reduce the ripples.
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Resistive load bank
Simulation of load disturbances in the system.
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Transducers
Measuring input and output voltages and currents.
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