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Power prediction method of new energy power generation system

A power generation system and power prediction technology, applied in the direction of prediction, resources, instruments, etc., can solve problems such as cumbersome steps, reduced optimization efficiency, and unguaranteed efficiency

Inactive Publication Date: 2017-10-03
扬州贝斯特新能源科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

In this regard, the classic exhaustive search method such as the grid algorithm mode is simple and easy to implement, but the efficiency cannot be guaranteed; bionic intelligent algorithms such as ant colony algorithm, particle swarm algorithm, genetic algorithm, etc. have too many steps when performing local search in an approximate optimal area. It is cumbersome and reduces the optimization efficiency

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  • Power prediction method of new energy power generation system
  • Power prediction method of new energy power generation system
  • Power prediction method of new energy power generation system

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Embodiment Construction

[0043] In order to illustrate the present invention more clearly, the present invention will be further described below in conjunction with preferred embodiments and accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. Those skilled in the art should understand that the content specifically described below is illustrative rather than restrictive, and should not limit the protection scope of the present invention.

[0044] Such as figure 1 As shown, the power prediction method of the new energy power generation system provided in this embodiment includes the following steps:

[0045] S1. Normalize the historical data of the new energy power generation system, and use the normalized historical data of the new energy power generation system as a training sample for the support vector machine;

[0046] S2. Carry out the training of the support vector machine according to the training samples of the support vector machine and optimize th...

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Abstract

The invention discloses a power prediction method of a new energy power generation system. The power prediction method comprises the steps of: S1, performing normalization processing on historical data of the new energy power generation system, and regarding the historical data of the new energy power generation system after normalization processing as training samples of a support vector machine; S2, training the support vector machine according to the training samples thereof, and utilizing a grid ant colony search algorithm to perform parameter optimization so as to obtain a power prediction model of the new energy power generation system after parameter optimization; S3, performing normalization processing on meteorological forecast data of the new energy power generation system; S4, and regarding the meteorological forecast data of the new energy power generation system after normalization processing as an input variable of the power prediction model of the new energy power generation system after parameter optimization, and calculating a power predicted value of the new energy power generation system. The power prediction method can realize power prediction of the new energy power generation system quickly and precisely.

Description

technical field [0001] The invention relates to the technical field of new energy power generation. More specifically, it relates to a power prediction method for a new energy power generation system. Background technique [0002] The large-scale development of new energy is a strategic requirement for the sustainable development of the national economy and society. Solar energy (photovoltaic) and wind energy are recognized as high-quality new energy sources that are widely distributed and safe to use. As a way to efficiently utilize new energy, new energy power generation has been increasingly valued and promoted in its research and application, and has become a useful supplement to traditional energy sources. However, the biggest feature of new energy power generation that is different from traditional power generation lies in its random fluctuations caused by the external environment such as light intensity, temperature, and wind speed. Prediction of light intensity, te...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N3/00
CPCG06N3/006G06Q10/04G06Q10/06375G06Q10/067G06Q50/06
Inventor 李鹏洪良安
Owner 扬州贝斯特新能源科技有限公司