研究目的
To design suitable controllers with guaranteed stability for grid-connected photovoltaic (PV) systems driven by power converters by deploying a novel method of analysis based on nonlinear systems theory.
研究成果
The proposed control strategy is realized in the laboratory and experimental results fully confirm the theoretical analysis. The results verify that the proposed control scheme exhibits a better performance than the standard vector control scheme under parameter uncertainties. The proposed control strategy as developed on the nonlinear system model has guaranteed stability and satisfactory performance properties over a wide operating range.
研究不足
The technical and application constraints of the experiments include the limitation of the duty-ratios not being taken into account in the analysis. The control inputs can be considered constant during saturation, and a similar analysis can be conducted to prove that the states will remain bounded during the saturation.
1：Experimental Design and Method Selection:
The study involves a detailed accurate nonlinear dynamic model for the PV system including a cascade-mode control scheme. The control design and analysis are based on the time-scale separation principle.
2：Sample Selection and Data Sources:
The system parameters are given in detail in Table I, including inductance, parasitic resistance, capacitance, switching frequency, and grid angular frequency.
3：List of Experimental Equipment and Materials:
The experimental setup consists of a dc/dc and dc/ac converter built and tested in the laboratory. Data acquisition and control are implemented using dSPACE DS
4：Experimental Procedures and Operational Workflow:
11 The control strategy is realized in the laboratory via a personal computer, where data acquisition boards and control are implemented using dSPACE DS1104. The response of the system is evaluated when step changes occur on the irradiance and on the local resistive load Rdc.
5：The response of the system is evaluated when step changes occur on the irradiance and on the local resistive load Rdc.
Data Analysis Methods:
5. Data Analysis Methods: The stability analysis is conducted on the complete nonlinear closed-loop system with all the control and PLL dynamics considered. A Lyapunov method approach is adopted for the accurate gain selection of the controllers.
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