Missing data filling method and device
A missing data and data technology, applied in the field of missing data filling method and device, can solve the problems of power data missing, effective data reduction, continuous data missing, etc., to achieve the effect of alleviating the missing and increasing the amount of data
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Embodiment 1
[0034]The embodiment of the present invention provides a method for filling missing data, such asfigure 1 A flowchart of a method for filling missing data is shown. The method includes the following steps:
[0035]Step S102: Obtain the wind farm operation data to be filled;
[0036]Wherein, the above-mentioned wind farm operation data includes wind power data after cleaning;
[0037]In actual use, according to the operating conditions of the existing power system, power-limited scheduling is a frequent occurrence of grid-connected wind power, which causes the data records of the wind farm SCADA system to contain a large amount of power-limited operating data. These power-limited operating data are usually regarded as abnormal data, and a large number of them are eliminated; at the same time, they are superimposed with the effect of other sparse abnormal data after elimination, forming a large number of discontinuous data segments and a large number of missing data segments. This large amount...
Embodiment 2
[0103]On the basis of the foregoing embodiment, an embodiment of the present invention also provides a missing data filling device, such asFigure 5 Shown is a schematic structural diagram of a missing data filling device, which includes:
[0104]The obtaining module 50 is used to obtain the wind farm operation data to be filled, where the wind farm operation data includes wind power data after cleaning;
[0105]The extraction module 52 is used to extract the sampling time in the wind farm operation data and establish a time series of the wind farm operation data to be filled;
[0106]The dividing module 54 is used to divide the wind farm operation data to be filled into multiple discrete states based on the time series;
[0107]The judging module 56 is used to judge whether the time interval between any two adjacent discretized states is greater than a preset interval threshold;
[0108]The filling module 58 is used to calculate the filling value in the time interval according to the pre-establish...
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