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Wind turbine generator set blade-pitch variation safety prediction algorithm

A technology for wind turbines and prediction algorithms, which is applied in wind turbine components, wind turbines, wind power generation, etc., can solve problems such as hidden dangers of wind turbine safety, reduction of power generation efficiency of turbines, and influence on load and output of wind turbines, so as to improve safety. Effects of Sex and Reliability

Active Publication Date: 2014-02-26
大连尚佳新能源科技有限公司
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  • Summary
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  • Claims
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AI Technical Summary

Problems solved by technology

The ice attached to the blades of wind turbines will not only generate ice load, but also affect the life of the blades
If the blades are operating with ice, it will cause great harm to the unit: (1) If the unit is shut down directly due to ice on the blades, the power generation of the unit that has been in the low temperature area for a long time will be greatly reduced; (2) After icing, due to the different thickness of ice attached to each section of the blade, it will directly affect the load and output of the wind turbine unit, which will reduce the power generation efficiency of the unit; (3) The ice attached to the blade will not only cause safety hazards to the wind turbine itself, but also Threat to resources such as field workers, local residents, and livestock

Method used

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  • Wind turbine generator set blade-pitch variation safety prediction algorithm
  • Wind turbine generator set blade-pitch variation safety prediction algorithm
  • Wind turbine generator set blade-pitch variation safety prediction algorithm

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Embodiment Construction

[0018] Below in conjunction with this embodiment the present invention is further described:

[0019] A prediction algorithm for pitch safety of a wind power generating set, using a BP three-layer neural network to predict the possibility of blade ice attachment, the BP three-layer neural network includes an input layer, a hidden layer and an output layer; the input layer includes 8 input nodes, namely: wind speed x1, air temperature x2, air humidity x3, pitch angle x4, impeller speed x5, blade spatial position x6, fan vibration value x7, blade material coefficient x8; the hidden layer includes 3 Nodes z1-z3; the output layer includes 1 output node: icing speed v; the functional relationship between the input node, the hidden layer node and the output node is as follows:

[0020] z k = f 1 ...

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Abstract

In a wind turbine generator set blade-pitch variation safety prediction algorithm, the icing possibility of blades is predicted through a BP (back-propagation) three-layered neural network. The BP three-layered neural network comprises an input layer, a hidden layer and an output layer. The input layer comprises eight input nodes including the wind speed x1, the air temperature x2, the air humidity x3, the blade-pitch variation angle x4, the impeller rotation speed x5, the blade spatial location x6, the fan vibration value x7 and the blade material coefficient x8; the hidden layer comprises three nodes of z1, z2 and z3; the output layer comprises one output node, namely the icing speed v. By the wind turbine generator set blade-pitch variation safety prediction algorithm, the service life of blades of the wind turbine generator set is prolonged and the power generation efficiency of the wind turbine generator set is improved.

Description

technical field [0001] The invention belongs to the technical field of wind power, and in particular relates to a prediction algorithm for pitch safety of a wind power generating set. Background technique [0002] As a clean renewable energy, wind energy can largely solve the problem of non-renewable energy environmental pollution, especially in the face of depletion of fossil energy and increasing greenhouse gas emissions, which have seriously affected the world's climate. Pay attention to the application and development of wind energy technology. my country has vast pasture resources and a long coastline, and is rich in wind energy resources. However, due to the characteristics of wind energy resources, the natural environment of wind farms is generally relatively harsh, and most of them are distributed in the cold north and humid coastal areas. [0003] Freezing occurs when wind turbines operate in low temperature environments such as humid air, rain or snow. Ice attach...

Claims

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Application Information

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IPC IPC(8): F03D11/00
CPCY02E10/722
Inventor 马靖聪矫斌李楠
Owner 大连尚佳新能源科技有限公司
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