研究目的
To propose a robust sliding mode controller with integral action (SMCI) for DC-link voltage control in grid-integrated photovoltaic systems to reduce steady-state error and improve performance under various system conditions.
研究成果
The SMCI-based DC-link voltage controller demonstrated superior performance in terms of harmonic compensation, power flow balance, and speed of response compared to PI and conventional SMC controllers under various system conditions. It effectively reduced steady-state error and overshoot, making it a better candidate for grid-integrated photovoltaic applications.
研究不足
The study is based on simulation results using MATLAB/Simulink, and real-world implementation may face challenges not accounted for in the simulation. The performance under extreme or unforeseen conditions was not tested.
1:Experimental Design and Method Selection:
The study employs a sliding mode controller with integral action (SMCI) for DC-link voltage control, incremental conductance method for maximum power point tracking (MPPT), and instantaneous pq theory-based self-tuning filter for harmonic compensation. Hysteresis current control is used for inverter switching pulse generation.
2:Sample Selection and Data Sources:
The system includes a single-phase grid-tied solar PV system feeding a domestic load, with simulations based on practical daily load and solar irradiation profiles.
3:List of Experimental Equipment and Materials:
MATLAB/Simulink platform for modeling and simulation, including components like DC-DC converter, voltage source inverter (VSI), and nonlinear load modeled as a rectifier feeding RL load.
4:Experimental Procedures and Operational Workflow:
The system is simulated under various conditions including steady state and dynamic changes in solar irradiation and load demand. Performance is compared between SMCI, PI, and conventional SMC controllers.
5:Data Analysis Methods:
Performance indices such as integral absolute error (IAE), integral square error (ISE), integral time absolute error (ITAE), and integral time square error (ITSE) are used to compare controller performance.
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