Wind power plant group power generating capacity evaluation method based on big data mining technology

The invention discloses a wind power plant group power generating capacity evaluation method based on big data mining technology. The wind power plant group power generating capacity evaluation method comprises steps that various sensors are used to acquire wind speed of wind power plants; a three-dimensional wind speed distribution association diagram in the wind power plants is established; wind power plant power generating capacity evaluation based on data integration using various methods is carried out; the wind speed three-dimensional network of the wind power plant is established; thepower generating capacity evaluation of the wind power plant group based on the big data mining technology is realized. The method provided in the invention innovatively adopts a wind power plant group related area division method based on space downscaling, and then the calculation and the acquisition of the wind speed are more accurate; by adopting a benchmarking draught fan method, a correction wind speed network method, a theory output restore table method, total theory output is calculated, and at the same time, Kalman data is integrated with and applied in the theory output aspect, andthen the calculation of the total theory output is more accurate.