Self-adaptive detection method for abnormal wind turbine output power

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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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 because the pitch angle of the blades cannot be changed well to meet the change of wind speed.

At present, the wind turbine condition monitoring system has been installed. However, due to the lack of fault samples, the research results of fault diagnosis cannot meet the needs of the site.

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