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REAL POWER CURVE-BASED METHOD FOR DISCRIMINATING AND COMPENSATING YAW ERROR INHERENT DEVIATION OF WIND TURBINE GENERATOR SET
REAL POWER CURVE-BASED METHOD FOR DISCRIMINATING AND COMPENSATING YAW ERROR INHERENT DEVIATION OF WIND TURBINE GENERATOR SET
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机译：基于有功曲线的风轮发电机组偏航误差固有偏差识别与补偿方法
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摘要
A real power curve-based method for discriminating and compensating a yaw error inherent deviation of a wind turbine generator set. Said method comprises: on the basis of real-time operation data, including wind speed, active power, yaw error, etc., of a supervisory control and data acquisition (SCADA) system of a wind turbine generator set, first performing a certain degree of preprocessing on the data and then dividing power curve data according to a certain yaw error interval; in combination with an outlier discrimination method, fitting power curves of different yaw error intervals by means of a real power curve fitting process; further performing a quantitative analysis on different power curves and determining, on the basis of a section determination criterion, the section range of an yaw error inherent deviation value; and finally, compensating the discriminated inherent deviation value to a yaw error measurement value. Said method is based on data driving, and has no special requirements on the operation data of the wind turbine generator set, having strong universality and having a strong application value for improving the performance of the wind turbine generator set.
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