Interpolation of Missing Wind Speed ​​Data by Using Various Mesoscale Wind Speed ​​Data

Abstract

The invention provides a method for interpolating and observing missing wind speed data by using a variety of mesoscale wind speed data, comprising the following steps: collecting a variety of mesoscale wind speed data according to time series; The average observed wind speed data and the available mesoscale wind speed data; the average observed wind speed data and the available mesoscale wind speed data are combined to obtain the first list; the threshold is set, and the first list is iterated by filtering; The mesoscale wind speed data can be substituted into the final wind speed data interpolation model to obtain the final fitted wind speed data; the final fitted wind speed data and the observed wind speed data are spliced ​​according to time points. The invention can solve the problem in the prior art that an interpolation equation is only established between one type of mesoscale wind speed data and the observed wind speed data, different mesoscale wind speed data cannot be considered at the same time, and the accuracy of the wind measurement data obtained after interpolation is not enough. technical problem.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a method for interpolating and observing missing wind speed data by using a variety of mesoscale wind speed data. Background technique [0002] Wind measurement data processing is a key process in the early development of wind farms and an indispensable part of evaluating wind resources. The industry is mainly guided by the national standard "GB / T 18710-2002 Wind Farm Wind Energy Resource Assessment Method" for wind measurement data processing. This national standard clearly states that the effective data integrity rate for evaluating wind resources in the field should reach more than 90%. However, if the wind tower is affected by extreme weather, equipment operation failure and other factors during the measurement process, a large amount of problem data will be generated, which makes the wind speed data of the wind tower after cleaning unable to meet the requireme...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the defects in the prior art, the present invention provides a method for interpolating and observing the missing wind speed data by using a variety of mesoscale wind speed data, so as to solve the problem existing in the prior art that there is only one kind of mesoscale wind speed data and the observed wind speed data. The interpolation equation cannot be established in time, different mesoscale wind speed data cannot be considered at the same time, and the accuracy of the wind measurement data obtained after interpolation is not enough.

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