Eagle policy and adaptive NM simplex-based photovoltaic model parameter identification method

A photovoltaic model and parameter identification technology, which is applied in electrical digital data processing, special data processing applications, instruments, etc., to achieve the effects of low computational cost, increased speed, and improved convergence speed.

Active Publication Date: 2017-03-08
FUZHOU UNIV
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Problems solved by technology

[0005] The object of the present invention is to provide a kind of photovoltaic model parameter identification method based on eagle strategy and self-adaptive Nelder-Mead simplex, to overcome the defective of existing relevant technology, thereby improve the performance of photovoltaic model parameter identification

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  • Eagle policy and adaptive NM simplex-based photovoltaic model parameter identification method
  • Eagle policy and adaptive NM simplex-based photovoltaic model parameter identification method

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[0014] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0015] The present invention provides a photovoltaic model parameter identification method based on eagle strategy and self-adaptive Nelder-Mead simplex, the flow chart is as follows figure 1 shown. Fig. 2 is the single diode and double diode equivalent circuit model of the photovoltaic array of the present embodiment, module string, module or battery, wherein Figure 2a is the equivalent electrical model of a single diode, Figure 2b It is a double diode equivalent circuit model. The single diode photovoltaic mathematical model is shown in the following formula:

[0016]

[0017] The dual diode data model is shown in the following formula:

[0018]

[0019] where I L and V L For the current and voltage values ​​in the measured IV curve (volt-ampere curve); V t is the thermal voltage by determined, where K is the Boltzmann consta...

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Abstract

The invention relates to an eagle policy and adaptive NM simplex-based photovoltaic model parameter identification method. The method comprises the following steps of S1: obtaining a photovoltaic model by adopting a photovoltaic IV curve test instrument to perform an IV characteristic curve, and setting a range of photovoltaic model parameters according to the number of serial and parallel solar cells of a photovoltaic array; S2: performing a rough global search on the photovoltaic model parameters by adopting a swarm intelligent optimization algorithm, and obtaining a plurality of relatively good photovoltaic model parameter initial value vectors; S3: performing a further rough local search on a group of optimal photovoltaic model parameter vector accessories in the step S2 by adopting a plurality of Nelder-Mead simplexes; and S4: performing a further fine local search on optimal model parameter vectors in the step S3 by adopting a single adaptive Nelder-Mead simplex to obtain optimal photovoltaic model parameter vectors. According to the technical scheme, the precision, speed and reliability of photovoltaic model parameter identification can be remarkably improved.

Description

technical field [0001] The invention belongs to the detection technology of solar cells and photovoltaic power generation arrays, and in particular relates to a photovoltaic model parameter identification method based on eagle strategy and self-adaptive NM simplex. Background technique [0002] Accurate modeling of photovoltaic modules and arrays plays an important role in optimizing the power generation efficiency of photovoltaic power plants. However, due to the installation and operation of photovoltaic modules and arrays in a complex outdoor environment, they are also affected by various environmental factors such as thermal cycle, humidity, ultraviolet rays, and wind excitation, which are prone to local material aging, performance degradation, cracks, etc. problem, causing the model parameters to change over time. Photovoltaic modules and arrays mainly use single / double diode models, and their model parameters have an important impact on the accuracy of the model. The...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 陈志聪吴丽君吴振辉林培杰程树英
Owner FUZHOU UNIV
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