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Fan output power prediction method and system

A technology of output power and prediction method, which is applied in the field of electric power to achieve better prediction effect, improve accuracy and eliminate abnormal data.

Pending Publication Date: 2021-12-21
SHANGHAI MARITIME UNIVERSITY
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Problems solved by technology

[0004] Based on this, it is necessary to provide a fan output power prediction method and system for how to consider different influencing factors to predict the fan output power. accuracy rate

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  • Fan output power prediction method and system
  • Fan output power prediction method and system
  • Fan output power prediction method and system

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Embodiment Construction

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0050] See figure 1 , the embodiment of the present invention discloses a fan output power prediction method, comprising the following steps:

[0051] Step S100, based on the maximum information coefficient and multivariate polynomial regression, establish a multivariate polynomial regression model. Among them, the maximum i...

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Abstract

The invention discloses a fan output power prediction method, which comprises the following steps of: firstly, establishing a multivariate polynomial regression model based on a maximum information coefficient and multivariate polynomial regression; and then, determining a test set, and predicting the output power of the fan on the test set by using the multivariate polynomial regression model. In addition, the invention further provides a fan output power prediction system. According to the method and system, the maximum information coefficient is used for selecting the important variables influencing the output power of the fan in the process of establishing the multivariate polynomial regression model, multiple important variables are comprehensively considered, the problem that analysis is not comprehensive enough due to the fact that influence factors of the output power of the fan are analyzed manually is solved, and further, the relation between multivariable and the fan output power is modeled through a polynomial method, so that prediction of the fan output power has high accuracy and low model complexity.

Description

technical field [0001] The invention relates to the field of electric power, in particular to a method and system for predicting the output power of a fan. Background technique [0002] The use of wind energy in new energy has a great role in promoting economic development. Therefore, it is of great significance to accurately predict the output power of wind turbines. The traditional wind power forecasting method is to use the wind turbine power curve (WTPC) model provided by the manufacturer. However, this model only shows the relationship between the wind turbine output power and wind speed, without considering the influence of factors such as wind direction, rotor speed and pitch angle, which has certain limitations. In addition, in the process of predicting the output power of wind turbines, it is necessary to use a multivariate regression model, but the factors that affect the output power of wind turbines are different in different wind farm environments. How to deter...

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Application Information

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IPC IPC(8): G06F30/20G06Q10/04G06F113/06G06F119/06
CPCG06F30/20G06Q10/04G06F2113/06G06F2119/06
Inventor 杨华建牛王强黄佳颖王晓彤江佳腾张炜婷张燕
Owner SHANGHAI MARITIME UNIVERSITY
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