Power curve analysis based wind generating set yaw error inherent deviation recognition and compensation method

Abstract

The invention discloses a power curve analysis based wind generating set yaw error inherent deviation recognition and compensation method. In the method, based on wind generating set data supervisorycontrol and data acquisition (SCADA) system real-time operation data including a wind speed, an active power, a yaw error, an environment temperature and an ambient air pressure, firstly, wind speed and power data are divided according to a certain yaw error interval after the data is preprocessed to a certain extent, fitting is performed on power curves under different yaw error intervals througha standard power curve fitting flow, quantitative analysis on different power curves is further performed, a yaw error inherent deviation value interval range is determined based on an interval judgment criterion, and finally, an inherent deviation value obtained through identification is directly compensated for a yaw error actual measurement value in an incremental form. The method is based ondata drive, does not have special requirement for wind generating set operation data, has relatively strong universality and has very strong application value on improvement on the wind generating setperformance.

Description

technical field [0001] The invention relates to a method for identifying and compensating inherent deviations of yaw errors of wind turbines, in particular to a method for identifying and compensating inherent deviations of yaw errors of wind turbines based on power curve analysis. Background technique [0002] In a modern society where traditional fossil energy resources are scarce and seriously polluted, wind energy is widely favored by the public as a pollution-free and renewable new energy source, and the wind power industry has thus become one of the new renewable energy industries that are vigorously developed at home and abroad. . In my country, the construction of wind farms and related research work have significantly improved both in terms of quantity and quality in the past ten years. a series of negative factors. Nowadays, in the process of using wind turbines, due to the intermittent and highly uncertain characteristics of wind speed, it has a great impact on t...

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Problems solved by technology

[0005] (2) The return error may also occur due to mechanical reasons during the repeated rotation of the wind direction instrument under actual operation

[0006] The gradual accumulation of these two aspects will often bring large errors to the measurement of the yaw error angle, thus affecting the performance of the yaw system

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