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A Power Prediction Method Based on Wind-solar Hybrid Model

A power prediction, wind-solar hybrid technology, applied in photovoltaic modules, photovoltaic power generation, wind power generation, etc., can solve problems such as low accuracy, and achieve the effect of improving prediction accuracy, simplifying prediction methods, and widening engineering application value

Inactive Publication Date: 2016-09-14
XJ ELECTRIC +1
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Problems solved by technology

[0006] The purpose of the present invention is to provide a power forecasting method based on a wind-solar hybrid model to solve the problem of low accuracy of existing forecasting methods

Method used

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  • A Power Prediction Method Based on Wind-solar Hybrid Model

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Embodiment Construction

[0016] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0017] First, establish an accurate BP neural network model for wind-solar hybrid power prediction. In this embodiment, a three-layer feed-forward network is used as an example to illustrate, as shown in figure 1 shown. Select the measured historical meteorological data of more than one month, the output power of wind farms and photovoltaic power stations as the data for network training, and preprocess them (such as checking the rationality and completeness of the selected data, Supplement and correction with abnormal data, and perform normalization processing), establish a database for training the BP network model, and then input the data in the database into the established BP neural network structure for training, and verify the prediction model And correction, finally get the trained BP neural network model.

[0018] Then comprehensively consider vari...

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Abstract

The invention relates to a power prediction method based on a wind-solar hybrid model. According to the prior art, wind power and photovoltaic power are predicted separately, however, according to the power prediction method based on the wind-solar hybrid model, only one BP neural network prediction model is adopted to achieve prediction of the output power of a wind power plant and the output power of a photovoltaic power station of a whole area at the same time, prediction accuracy is improved while the prediction method is simplified, and therefore the method has higher engineering application value.

Description

technical field [0001] The invention belongs to the technical field of new energy control, and relates to a power generation prediction method, in particular to a hybrid power prediction method of wind power generation and photovoltaic power generation. Background technique [0002] In recent years, with the strong support of the governments of various countries, distributed power generation technology has developed rapidly, especially wind power and photovoltaic power generation, which have the advantages of clean environmental protection, no pollution, wide distribution, and renewable. However, with the large-scale connection of wind power and photovoltaic power generation to the power grid, the randomness, intermittency and volatility of wind power and photovoltaic power generation have brought unprecedented pressure to the stable operation of the power grid, which not only affects the quality of power energy, but also aggravates the peak shaving of the power grid Operati...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/38H02S10/12
CPCY02E10/56Y02E10/76
Inventor 张新昌孔波利李现伟沈志广丁钊王兆庆熊焰崔丽艳
Owner XJ ELECTRIC
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