Invention Grant
US08587140B2 Estimating an achievable power production of a wind turbine by means of a neural network
有权
通过神经网络估计风力发电机的可实现的功率产生
- Patent Title: Estimating an achievable power production of a wind turbine by means of a neural network
- Patent Title (中): 通过神经网络估计风力发电机的可实现的功率产生
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Application No.: US12620904Application Date: 2009-11-18
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Publication No.: US08587140B2Publication Date: 2013-11-19
- Inventor: Per Egedal , Andreas Groth Knudsen
- Applicant: Per Egedal , Andreas Groth Knudsen
- Applicant Address: DE Munich
- Assignee: Siemens Aktiengesellschaft
- Current Assignee: Siemens Aktiengesellschaft
- Current Assignee Address: DE Munich
- Priority: EP08020579 20081126
- Main IPC: H02P9/00
- IPC: H02P9/00

Abstract:
A method for estimating an achievable power production of a wind turbine, which is operated with a reduced power set point is provided. The method includes determining the values of at least two parameters, inputting the values of the at least two parameters into a neural network, and outputting an output value from the neural network. The at least two parameters are indicative of an operating condition of the wind turbine. Thereby, the output value is an estimate of the achievable power production of the wind turbine. A control system which is adapted to carry out the described power estimation method is also provided. Furthermore, a wind turbine which uses the control system adapted to carry out the described power estimation method is provided.
Public/Granted literature
- US20100127495A1 ESTIMATING AN ACHIEVABLE POWER PRODUCTION OF A WIND TURBINE BY MEANS OF A NEURAL NETWORK Public/Granted day:2010-05-27
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