基于改进正弦余弦算法的光伏模型参数提取

Parameter Extraction of Photovoltaic Model Based on Improved Sine Cosine Algorithm

针对正弦余弦算法对光伏模型参数提取存在精度低等问题,提出了一种改进的正弦余弦算法(ISCA).ISCA算法中,采用了新的个体位置更新表达式来替换SCA中的个体位置表达式.为了验证ISCA算法的性能,选择了一种单二极管结构光伏模型进行参数提取.实验结果表明,与其他一些优化算法相比,ISCA在提取参数解的质量方面具有竞争力和有效性.

An improved sine cosine algorithm(ISCA)is proposed to address the issue of low accuracy in extracting photovoltaic model parameters using the sine cosine algorithm.In the ISCA algorithm,a new individual position update expression is used to replace the individual position expression in SCA.In order to verify the performance of the ISCA algorithm,a single transistor structure photovoltaic model was selected for parameter extraction.The experimental results show that compared with other optimization algorithms,ISCA is competitive and effective in extracting the quality of parameter solutions.