研究目的
To propose two modifications—Adaptive Search Range (ASR) and improved Newton-Raphson Method (iNRM), to enhance the computation speed of the iterative computational method for the two-diode model of PV modules without compromising accuracy.
研究成果
The proposed modifications, ASR and iNRM, significantly improve the computation speed of the iterative algorithm for the two-diode model by up to 4.7 times without compromising accuracy. These modifications are simple to implement and do not require additional input information, making them critical improvements for applications in computers with lower specifications.
研究不足
The study is limited to the two-diode model of PV modules and does not explore other models. The improvements are most beneficial for computers with lower specifications.
1:Experimental Design and Method Selection:
The study employs an iterative algorithm adjusted with ASR and iNRM to compute the P-V curve more efficiently. The original and modified algorithms are coded in Matlab for comparison.
2:Sample Selection and Data Sources:
Three PV modules of different technologies are used to evaluate the effectiveness of the modifications.
3:List of Experimental Equipment and Materials:
Matlab script for algorithm implementation, PV modules specifications as input data.
4:Experimental Procedures and Operational Workflow:
The algorithms compute the model parameters by iteratively adjusting the series resistance (Rs) to match the calculated maximum power to the experimental. The ASR reduces the computation range to 25% of the P-V curve, and iNRM optimizes the initial current value for each voltage point.
5:Data Analysis Methods:
The computation time and accuracy of the model parameters are compared between the original and modified algorithms.
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