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Photovoltaic cell parameter identification method based on improved balance optimizer algorithm

A photovoltaic cell and parameter identification technology, which is applied in design optimization/simulation, neural architecture, biological neural network model, etc.

Active Publication Date: 2021-02-19
GUIZHOU POWER GRID CO LTD
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a photovoltaic cell parameter identification method based on the improved balance optimizer algorithm to solve the technical problems that the existing technology cannot achieve the optimal parameter identification and is easy to fall into local optimum.

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  • Photovoltaic cell parameter identification method based on improved balance optimizer algorithm
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  • Photovoltaic cell parameter identification method based on improved balance optimizer algorithm

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Embodiment Construction

[0095] In order to solve the problem that its parameters are difficult to accurately identify and affect accurate modeling in the process of PV battery modeling, the present invention proposes a PV battery parameter identification method based on the IEO algorithm. Realize efficient and accurate parameter identification in modeling and simulation, so as to realize reliable PV cell modeling.

[0096] The purpose of the present invention is achieved through the following technical solutions: firstly, establish a PV battery model; secondly, use BP neural network to predict the output data of PV battery, and establish a more reliable fitness function; then, utilize IEO algorithm to identify the parameters of PV battery , until the convergence condition of the IEO algorithm is reached, and finally output the identified optimal parameters.

[0097] The specific steps are:

[0098] Build a PV cell model (see attached figure 2 ) and fitness function, the method is as follows:

[0...

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Abstract

The invention discloses a photovoltaic cell parameter identification method based on an improved balance optimizer algorithm. The method comprises the following steps: step 1, establishing a PV cell model and a fitness function; step 2, based on the measured output IV data, predicting output data of the PV cell through a BP neural network; and step 3, identifying the parameters of the PV cell by using an IEO algorithm until the convergence condition of the IEO algorithm is reached, and finally outputting the identified optimal parameters. The technical problems that in the prior art, optimal parameter recognition cannot be achieved, and local optimum is likely to happen are solved.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic cells, in particular to a photovoltaic cell parameter identification method based on an improved balance optimizer algorithm. Background technique [0002] Today, the serious deterioration of the environment, such as deforestation and air pollution, and the rapid depletion of non-renewable resources such as traditional fossil fuels are threatening the sustainable development of the world. In order to deal with increasingly severe environmental problems, a long-term energy revolution and energy structure transformation have become inevitable. Among them, solar energy is considered as one of the most promising and effective alternative energy sources, which has been widely used due to its convenient installation, abundant reserves and no pollution emission. Accurately identifying the relevant electrical parameters of the PV cell model is the most important and critical step in PV system perfor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06F30/25G06N3/04
CPCG06F30/27G06F30/25G06N3/044H02S50/00G06N3/084G06N3/0499G06N3/006G06N3/063
Inventor 刘斌谈竹奎唐赛秋徐长宝胡厚鹏丁超林呈辉欧家祥高吉普徐玉韬王宇张历辛明勇肖小兵
Owner GUIZHOU POWER GRID CO LTD
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