Self-adaptive detection method for abnormal wind turbine output power

An adaptive detection, wind turbine technology, applied in the control of wind turbines, wind power generation, wind turbines, etc., can solve problems such as failure of fault diagnosis research results to meet field needs, lack of fault samples, abnormal output power of wind turbines, etc.

Inactive Publication Date: 2014-07-16
CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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Problems solved by technology

When the yaw mechanism of the wind turbine fails, the output power of the wind turbine will be abnormal because it cannot track the change of wind direction well
When the pitch control mechanism of the wind turbine fails, the output power of the wind turbine will also be abnormal beca

Method used

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  • Self-adaptive detection method for abnormal wind turbine output power
  • Self-adaptive detection method for abnormal wind turbine output power
  • Self-adaptive detection method for abnormal wind turbine output power

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Example Embodiment

[0048] Example: Taking the online monitoring data of a wind turbine with a rated power of 1500kW in a wind farm in Jiangsu in 2008 as a sample to test the effectiveness of the adaptive detection method for abnormal output power of the wind turbine of the present invention, which specifically includes the following steps:

[0049] 1) Establish a standard sample library;

[0050] Collect the output power of wind turbines corresponding to different wind speeds when a wind turbine with a rated power of 1500kW in a wind farm in Jiangsu is in good operating conditions at the initial stage of operation, and use them as standard sample data to establish a standard sample database.

[0051] 2) Using Shepard interpolation method to establish a standard model of wind turbine output power;

[0052] Select 600 sets of sample data in the standard sample library, extract 400 sets of sample data, and use Shepard interpolation method to establish a standard model of wind turbine output power based on w...

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Abstract

The invention relates to a self-adaptive detection method for abnormal wind turbine output power. The method includes collecting wind turbine output powers corresponding to different wind speeds in the initial operating period of a wind turbine in fine operating state, allowing the wind turbine output powers to serve as standard sample data, and establishing a standard sample database; adopting a Shepard interpolation method, and establishing a wind turbine output power standard model on the basis of wind speed information; substituting wind speed data of the wind turbine in monitoring state into the wind turbine output power standard model, calculating a standard value of the wind turbine output power in current wind speed, and calculating the power deviation of the wind turbine output power in the current wind speed according to the standard value and a practically-measured valve of the wind turbine output power; comparing the power deviation with a preset power deviation threshold, if the power deviation is larger than the preset power deviation threshold, determining the wind turbine output power is abnormal, and warning. The method can be widely applied to early warning of the wind turbine output power.

Description

technical field [0001] The invention relates to a method for detecting output power of a wind turbine, in particular to an adaptive detection method for abnormal output power of a wind turbine. Background technique [0002] Wind energy, as a renewable new energy with the greatest potential for large-scale development, has developed rapidly in recent years. According to the statistics of the World Wind Energy Association (WWEA), by the end of 2013, the total installed capacity of wind power in the world was 318GW; China's total installed capacity of wind power reached 91GW, making it the world's number one wind power country. Due to the harsh operating environment of wind turbines, with the increase of operating years, the equipment of wind turbines is gradually aging, and the performance and reliability begin to decline. Therefore, it is necessary to carry out on-line monitoring of the wind power generation unit in order to grasp the operating status of the unit in time, de...

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Application Information

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IPC IPC(8): F03D7/00
CPCY02E10/72
Inventor 安学利潘罗平唐拥军
Owner CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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