Maximum power tracking method for photovoltaic power generation system based on memory enhancement

A technology of maximum power tracking and photovoltaic power generation system, which is applied in the direction of photovoltaic power generation, control/regulation system, and regulation of electric variables, etc., to achieve the effect of improving real-time performance and stability

Inactive Publication Date: 2021-06-29
WENZHOU UNIVERSITY
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Problems solved by technology

[0009] The purpose of the present invention is to provide a memory-enhanced maximum power tracking method for photovoltaic power generation systems in view of the shortag

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  • Maximum power tracking method for photovoltaic power generation system based on memory enhancement
  • Maximum power tracking method for photovoltaic power generation system based on memory enhancement
  • Maximum power tracking method for photovoltaic power generation system based on memory enhancement

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[0029] The present invention will be further described in detail below with reference to the accompanying drawings.

[0030] as attached figure 1 As shown, this embodiment discloses a maximum power tracking method for a photovoltaic power generation system based on memory enhancement, which includes the following steps:

[0031] S1. Establish an experience information database that can be dynamically updated to store historical solution experience;

[0032] S2, select an approximation algorithm, and train the approximation algorithm based on the data in the experience information database to optimize the accuracy of its prediction;

[0033] S3. Apply the trained approximation algorithm to the maximum power tracking of the photovoltaic power generation system;

[0034] S4. Determine whether to save the actual maximum power point information during online operation at the moment in the experience information base by using the criterion for updating the experience information i...

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Abstract

The invention discloses a photovoltaic power generation system maximum power tracking method based on memory enhancement. The method comprises the following steps of establishing an experience information base which can be dynamically updated and stores historical solution experience; selecting an approximation algorithm, training the approximation algorithm based on the data in the experience information base, and optimizing the prediction accuracy of the approximation algorithm; applying the trained approximation algorithm to the maximum power tracking of the photovoltaic power generation system; whether actual maximum power point information during online operation at the moment is stored in an experience information base or not being judged by utilizing a historical solution experience information updating criterion, and richer data in the experience information base being regularly used for training an approximation algorithm and correcting parameters so that prediction accuracy is further optimized. The method is advantaged in that the solving process of maximum power tracking can be accelerated, and the real-time performance and stability of a photovoltaic power generation system are effectively improved.

Description

technical field [0001] The invention relates to the technical field of new energy electric power and power supply, in particular to a maximum power tracking method of a photovoltaic power generation system based on memory enhancement. Background technique [0002] Facing the problems of global warming and the depletion of fossil resources, the development and utilization of renewable resources has been valued by the governments of all countries, and vigorously developing renewable energy has become the consensus of all countries in the world. Solar energy has become the fastest growing renewable energy because of its clean, balanced distribution, inexhaustible and inexhaustible characteristics. [0003] Photovoltaic power generation is one of the main ways to utilize solar energy. It is predicted that photovoltaic power generation will account for 13% to 15% of the world's total power generation by 2050, and will account for about 64% by 2100. China is the country with the ...

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Application Information

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IPC IPC(8): G05F1/67
CPCG05F1/67Y02E10/56
Inventor 张正江夏涛闫正兵黄世沛朱翔鸥戴瑜兴
Owner WENZHOU UNIVERSITY
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