研究目的
To enhance the performance of the PV-SAPF system under abrupt variation of the power system by applying fuzzy logic controller (FLC) with adaptive gains for both Maximum power point tracking MPPT of the PV and for dc capacitor voltage regulation, and an adaptive hysteresis band current controller (AHCC) for the switching signal of the three phase voltage source inverter (VSI).
研究成果
The proposed intelligent and adaptive technique of control, applied to PV-SAPF system, yields to a low THD and great dynamic performances in term of reference tracking, and low sensitivity to parameter ?uctuations of both the nonlinear load and solar irradiance.
研究不足
The study is conducted under specific conditions (temperature of 25°C) and may not account for all possible variations in real-world applications. The performance is compared with a conventional method, but other advanced methods may offer different advantages.
1：Experimental Design and Method Selection:
The control of the proposed system is based on instantaneous PQ strategy for reference harmonic term identi?cation, fuzzy logic controller for the Maximum power point tracking MPPT of the PV, fuzzy logic based controller for DC capacitor voltage regulation, and adaptive hysteresis current controller (AHCC) for the switching signals of the PV-SAPF system.
2：Sample Selection and Data Sources:
The system is executed in MATLAB / Simulink environment under temperature of 25°C.
3：List of Experimental Equipment and Materials:
Photovoltaic Array, DC/AC converter, Coupling inductor, Utility, Nonlinear Load.
4：Experimental Procedures and Operational Workflow:
A variable irradiance pro?le (150, 800 and 0W/m2) synchronized with abrupt variation of the ignition angle of thyristor bridge recti?er of the nonlinear load (5, 20 and 15 degrees) is applied.
5：Data Analysis Methods:
The results are compared with the conventional one using P& O algorithm, proportional integral controller and a ?xed hysteresis band controller.
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