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.