研究目的
To transfer the improved quality of power produced from the solar plant to the utility grid using a new topology of current control technique and a high-gain high-efficient converter driving with Kalman MPPT.
研究成果
The proposed RNN-based current control technique using hebbian-LMS algorithm presents the better performance over conventional PI current controller in terms of stability and power quality. The chosen high gain converter is able to boost the gain of voltages.
研究不足
The limitations of conventional DC-DC converters are its large peak currents at the input, the large voltage drop across the switch and diode reverse recovery current. Therefore the DC microgrid suffers from high stress and less efficiency.
1：Experimental Design and Method Selection:
The proposed control uses recurrent neural network RNN-Hebbian-LMS based current controller. The Hebbian-LMS algorithm is used to update the weights of the RNN based current controller.
2：Sample Selection and Data Sources:
PV array voltage and current, Grid Inverter Voltage (L-L), Grid Inverter Current (L-L), Grid Side Capacitor, Grid Side Local Load, Weights of Neurons (W1 to W6).
3：6).
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: High-gain high-efficient DC-DC converter, Kalman MPPT algorithm, RNN-Hebbian-LMS current controller.
4：Experimental Procedures and Operational Workflow:
The PV plant is connected to the utility grid through the high-gain high-efficient converter. The grid side converter is controlled with the help of the power control technique.
5：Data Analysis Methods:
The simulation results are compared with the conventional PI and proposed RNN-Hebbiab-LMS current controllers.
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