Parameter extraction method of silicon cell photovoltaic assembly five-parameter model

Abstract

The invention discloses a parameter extraction method of a silicon cell photovoltaic assembly five-parameter model. Firstly, four electrical property parameters of a four-parameter model are obtained through parameter values provided by an assembly manufacturer nameplate, then current equation differential values of circuit current and open-circuit voltage are solved according to the values obtained through the four-parameter model and by means of an approximate solving method, and finally five parameters needed by the photovoltaic assembly five-parameter model are obtained. By means of the method, the problem that a part of needed parameters can not be directly obtained from nameplate parameters provided by a manufacturer in the parameter extraction processing of the five-parameter model in the prior art, the extraction method of the five-parameter model is further simplified, and the method can be applied to engineering practice more easily.

Description

technical field [0001] The invention relates to a method for extracting parameters of a five-parameter model of a silicon cell photovoltaic component, belonging to the technical field of solar photovoltaic components. Background technique [0002] The output characteristics of photovoltaic modules are complex and have strong nonlinear characteristics. In order to theoretically evaluate the characteristics and efficiency of photovoltaic modules, the method of simulating the output characteristics of photovoltaic modules as a specific circuit model is mainly used. At present, the theoretical models commonly used for the output characteristics of photovoltaic modules mainly include single-diode model, double-diode model and multi-diode model. The single diode model has become the main model currently used in engineering because of its advantages of simple calculation and high output accuracy. According to the number of required parameters, the single diode model is further div...

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Problems solved by technology

However, in the case of uneven irradiance distribution or mismatched modules, photovoltaic modules may be reverse-biased, not only unable to output power, but will consume a certain amount of power as a load. Since parallel resistance is a key factor affecting the power consumption of modules, at this time The four-parameter model method can no longer meet the requirements, and the five-parameter model contains parameters, so it can analyze the characteristics of photovoltaic modules under various complex conditions in a more in-depth manner. For the mismatch of modules caused by shadow occlusion and uneven surface irradiance, etc. It is of great significance to lower the output characteristics and safety assessment (such as causing hot spot effect)

In recent years, the parameter extraction method of the five-parameter model of photovoltaic modules has become one of the hot issues in the field of theoretical simulation of photovoltaic modules. Among them, Brano proposed a cycle failure method in 2010, which can accurately obtain the current The five parameters of the equation must be based on the premise of the differential value of the current equation at the open circuit and short circuit under known standard test conditions, and the calculation amount of the cyclic iteration process is relatively large; in 2009, domestic scholars Zhai Zaiteng and Cheng Xiaofang used analytical solutions to The complex transcendental equation is transformed into an algebraic equation to obtain five parameters, which simplifies the calculation process, but the prerequisite is still that the differential value of the current equation at the open circuit and short circuit needs to be known, but the above parameters cannot be directly obtained from the nameplate parameters provided by the manufacturer. get

[0004] Therefore, although some existing five-parameter model extraction methods have high accuracy, they are not suitable for ordinary users, because some of the required parameters are usually not provided by manufacturers, and are often obtained through experimental methods. Can target specific components, not universal

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