研究目的
To develop a maximum power point tracking (MPPT) control algorithm to determine power efficiency and improve the transient nature of the power curve characteristics of a PV cell under different irradiance conditions.
研究成果
The proposed MPPT algorithm based on the sub-gradient optimization method and MPP voltage law demonstrates advantages of fast dynamic response and steady-state stability under different lighting conditions. It effectively addresses the problems of variable ambient conditions in solar PV cells, offering a practical solution for enhancing power efficiency and operational reliability.
研究不足
The study focuses on the application of the proposed MPPT algorithm under different irradiance conditions and does not extensively explore its performance under varying temperature conditions or in combination with other renewable energy sources.
1：Experimental Design and Method Selection:
The study involves the development of a novel MPPT control strategy based on a sub-domain gradient optimization principle and MPP voltage law.
2：Sample Selection and Data Sources:
PV cell output characteristics under normal operating conditions and different external conditions (light intensities and temperatures) are analyzed.
3：List of Experimental Equipment and Materials:
A boost circuit is used as the MPPT control circuit, and a 200W PV experiment platform was built using a TI solar micro-inverter development kit.
4：Experimental Procedures and Operational Workflow:
The proposed MPPT algorithm is compared with existing methods (disturbance observation method and conductivity incremental method) under same external conditions.
5：Data Analysis Methods:
The performance of the proposed MPPT algorithm is evaluated based on dynamic response speed and steady-state stability.
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