太阳电池单二极管模型中的参数提取方法

近年来,太阳电池参数提取方法获得了广泛关注.原因在于匹配的电池参数,可以有效减少内外因素对光伏阵列发电效率的影响.本文以太阳电池单二极管模型为讨论对象,对其五个参数的提取方法进行了详细介绍;对目前典型的四类太阳电池参数提取方法 (即解析提取参数方法,借助朗伯W函数函数提取参数方法,构建或利用特殊函数提取参数方法,利用智能算法提取参数方法)进行归纳与总结.阐述了这些方法的主要理论与实现途径,更重要的是对它们的优缺点进行了探讨.最后,对参数提取未来的研究动态进行了展望,以期对参数提取方法提供一些思路,为国内同行开展相关研究提供一些帮助.

Review of Parameter extraction methods for single-diode model of solar cell

In recent years, the parameter extraction methods of solar cell have attracted a lot of research attention. The reason is that the matching solar cell parameters can effectively reduce the influences of internal and external factors on photovoltaic efficiencies. In this paper, the five-parameter extraction methods of solar cell single-diode model are discussed in detail. The five parameters are the photocurrent, the reverse diode saturation current, the ideality factor of diode, the series resistance, and the shunt resistance. In fact, the existing research methods are classified as four categories, namely, analytically extracting parameter methods, extracting parameter methods with the help of Lambert W function, constructing or using special functions to extract parameter methods, and using intelligent algorithm to extract parameter methods. In this article, we not only elaborate their main theories and approaches, but also discuss their advantages and disadvantages. The main conclusion is that the analytical method for the extraction of solar cell model parameters requires some assumptions. Therefore, this method is fast but less accurate due to various approximations. In addition, the parameter extraction using the analytical method needs a thorough calculation, and deducing the actual values of (dI/dV)|_V=Voc and (dI/dV)|_I=Isc and peak power point is also challenging. When the five parameters of solar cell are calculated using the Lambert W-function method, the results show that the extraction process is easier when using the consecrated software such as MATLAB, but the larger computational time is needed. Generally, the Lambert-W function provides the exact explicit expression for parameter extraction. As a result, the accuracy of approximate solution using Lambert-W function is much higher than that of the above method. It is obvious that the accuracy of using special functions to extract cell parameters is limited by those function characteristics. Of course, those special functions, such as Green's function, seem to be complex approaches. The accuracy of the extracting cell parameters by using intelligent algorithm strongly depends on the type of fitting algorithm, the fitting criterion, objective function and the starting values of the parameters. Finally, based on the conducted review, the future research trend of parameter extraction is also predicted