Wind generating set wind power curve optimization calculation and abnormal value detection method
A technology for wind turbines and optimization calculation, applied in the directions of calculation, computer-aided design, design optimization/simulation, etc., can solve the problem that the wind power curve deviates from the wind power curve of the unit, the normal data of the wind turbine has a high proportion, and the distribution of abnormal values of the unit is lacking. situation analysis and other issues, to achieve the effect of improving generalization ability and simple calculation of Cp value features
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[0034] like figure 1 , figure 2 and image 3 As shown, this example provides a wind power generator wind power curve optimization calculation and abnormal value detection method, including the following steps:
[0035] S1: Collect the operation data of the wind power generation unit within one cycle to obtain the original collection data. The data in this example comes from the real operation data of a wind farm;
[0036] S2: Calculate the wind energy utilization coefficient Cp according to the diameter of the wind rotor and the air density;
[0037] S3: Splicing the Cp value into the original data to construct a new data set A;
[0038] S4: Set the rated wind speed, and classify the data whose wind speed is lower than the rated wind speed in data set A into data set B, and the rest of the data into data set C;
[0039] S5: Set the Cp threshold, perform Cp threshold screening on the data in the data set B, mark the data within the threshold range as normal data, and mark ...
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