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Photovoltaic cell system model parameter identification method based on variant shuffling leapfrog algorithm

A technology of photovoltaic cells and leapfrog algorithm, applied in computational models, biological models, calculations, etc., can solve problems such as slow convergence, reduce the frequency of real-time detection, overcome slow convergence, and reduce costs.

Pending Publication Date: 2020-12-15
WENZHOU UNIVERSITY
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Problems solved by technology

[0004] Therefore, it is necessary to provide a photovoltaic battery system model parameter identification method, which can effectively overcome the defects of slow convergence and easy to fall into local optimum in the existing technology, and improve the accuracy of photovoltaic battery system model parameters.

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  • Photovoltaic cell system model parameter identification method based on variant shuffling leapfrog algorithm
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  • Photovoltaic cell system model parameter identification method based on variant shuffling leapfrog algorithm

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[0059] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0060] Such as figure 1 As shown, in an embodiment of the present invention, a method for identifying parameters of a photovoltaic cell system model based on a variant shuffle leapfrog algorithm is provided, and the method includes the following steps:

[0061] Step S1, obtaining the output current and output voltage of the photovoltaic cell system under a certain temperature and light intensity;

[0062] The specific process is, the acquisition temperature is 33°C and the light intensity is 1000W / m 2 The measurement data on a RTC France photovoltaic cell with a diameter of 57mm under the condition of , the measurement data includes the output current I L , output voltage V L .

[0063] Step S2, constructing a mathematical model of the photovoltaic cell system...

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Abstract

The invention provides a photovoltaic cell system model parameter identification method based on a variant shuffling leapfrog algorithm. The method comprises the steps of acquiring the output currentand the output voltage of a photovoltaic cell system under a certain temperature and illumination intensity; constructing a mathematical model of the photovoltaic cell system, and converting the mathematical model of the photovoltaic cell system into a target function suitable for a swarm intelligence optimization algorithm; optimizing the target function by adopting a shuffling leapfrog algorithmof a preset delay dynamic step length mechanism according to the obtained output current and output voltage; and analyzing and extracting the optimal parameters of the mathematical model of the photovoltaic cell system according to the optimization result of the target function. By implementing the method, the defects of slow convergence, high possibility of falling into local optimum and the like in the prior art can be effectively overcome, and the parameter precision of the photovoltaic cell system model is improved.

Description

technical field [0001] The invention relates to the technical field of detection of solar photovoltaic cells and photovoltaic power generation arrays, in particular to a method and system for identifying parameters of a photovoltaic cell system model based on a variant shuffle leapfrog algorithm. Background technique [0002] In modern society, people's basic necessities of life have become inseparable from fossil energy. A series of environmental problems such as global warming, air pollution, species extinction, and extreme weather have made people realize that the excessive use of fossil energy may be the root cause of this situation. In order to continue to meet people's demand for energy under the premise of protecting the environment, photovoltaic cell systems that convert solar energy into electrical energy have attracted widespread attention. Therefore, designing an accurate mathematical model is an important means to study and optimize the performance of photovolta...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06F17/15G06N3/00
CPCG06F30/27G06F17/15G06N3/006
Inventor 汪鹏君范毅陈慧灵施一剑管晓春
Owner WENZHOU UNIVERSITY
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