研究目的
Investigating the effectiveness of a novel Segmentation algorithm for Maximum Power Point Tracking (MPPT) in photovoltaic (PV) systems under partial shading conditions.
研究成果
The proposed Segmentation algorithm effectively identifies the highest MPP under partial shading conditions, outperforming standard P&O and other MPPT algorithms in terms of output power and speed. It does not require additional sensors, making it suitable for both small and large PV systems.
研究不足
The study is based on simulation results; real-world application and performance under varying environmental conditions were not tested.
1：Experimental Design and Method Selection:
The study proposes a Segmentation algorithm for MPPT under partial shading conditions, dividing the power-voltage curve into uniform segments to locate the global maximum power point.
2：Sample Selection and Data Sources:
The algorithm was tested with different PV systems under various shading conditions.
3：List of Experimental Equipment and Materials:
Simulation setup included three PV modules with different irradiation levels, a boost converter, and a load.
4：Experimental Procedures and Operational Workflow:
The algorithm divides the power-voltage curve into segments, identifies the segment with the highest average value, and uses conventional MPPT methods to find the MPP within this segment.
5：Data Analysis Methods:
The performance of the Segmentation algorithm was compared with standard P&O and other MPPT algorithms through simulation results.
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