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Estimating an achievable power production of a wind turbine by means of a neural network

一种风力涡轮机、神经网络的技术，应用在风力发动机的控制、风能发电、风力发动机等方向，能够解决结果不十分准确等问题

Active Publication Date: 2010-06-16
SIEMENS GAMESA RENEWABLE ENERGY AS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This well-known procedure for estimating achievable power generation has the disadvantage that the results are often not very accurate

Method used

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  • Estimating an achievable power production of a wind turbine by means of a neural network
  • Estimating an achievable power production of a wind turbine by means of a neural network
  • Estimating an achievable power production of a wind turbine by means of a neural network

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Embodiment Construction

[0035] The figures shown in the figures are schematic. It should be noted that in different figures, similar or identical elements have the same reference signs or have reference signs that differ only in the first digit from the corresponding reference sign.

[0036] The figures shown in the figures are schematic. It should be noted that in different figures, similar or identical elements have the same reference signs or have reference signs that differ only in the first digit from the corresponding reference sign.

[0037] figure 1 A wind turbine 100 according to an embodiment of the invention is shown. The wind turbine 100 comprises a tower 120 mounted on a foundation not shown. On top of the pylon 120 a housing 122 is arranged. Between the tower 120 and the housing there is a rotor angle adjustment device 121 which enables the housing 122 to rotate about a not shown vertical axis which is aligned with the longitudinal extension of the tower 120 . By controlling the ro...

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Abstract

It is described a method for estimating an achievable power production of a wind turbine (100), which is operated with a reduced power set point. The method comprises determining the values of at least two parameters being indicative for an operating condition of the wind turbine (100), inputting the values of the at least two parameters into a neural network (132, 232), and outputting an output value from the neural network (232). Thereby, the output value is an estimate of the achievable power production of the wind turbine (100). It is further described a control system (130), which is adapted to carry out the described power estimation method. Furthermore, it is described a wind turbine (100) and a computer program for controlling the described power estimation method.

Description

technical field [0001] The invention relates to the field of wind turbines for generating electrical power. In particular, the invention relates to a method and control system for estimating the achievable power generation of a wind turbine operating at a reduced power set point. Furthermore, the invention contemplates a wind turbine and a computer program for controlling the power estimation method described above. Background technique [0002] Wind energy is increasingly recognized as a viable option for supplementing or even replacing other energy sources such as fossil fuels. In the early development of wind energy, most wind turbines were built to run at a constant speed. However, the recent trend is towards the use of variable speed wind turbines to better capture the available wind. In most cases, the pitch angle of the wind turbine blades can be adjusted to control the operation of the variable speed wind turbine. [0003] When the power supplied to the power net...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D7/04
CPCY02E10/723G05B13/027Y02E10/72
Inventor P·埃格达尔A·G·努德森
Owner SIEMENS GAMESA RENEWABLE ENERGY AS
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