Wind power measuring point identification method and device

Abstract

In the wind power measuring point identification method and device provided by the embodiment of the invention, the steps are included: the current reading time being initialized; acquiring mutual information of any two fans of the plurality of fans at the current reading time; judging whether the current reading time exceeds a preset value of the reading time; if yes, initializing the m-th wind power measuring point; judging whether the mutual information of the m-th wind power measuring point satisfies the first preset condition; if so, determining that the m-th wind power measurement pointis false data. Firstly, the mutual information of any two fans is obtained, and then the wind power measuring point is judged, that is, whether the mutual information of the wind power measuring pointsatisfies the first preset condition is calculated according to the obtained mutual information; if the mutual information is satisfied, the wind power measuring point is false data. The wind power measurement point discrimination method provided by the embodiment of the present application can better identify false data in the wind power measurement point, thereby reducing measurement error.

Description

technical field [0001] The present application relates to the field of electric power measurement, and in particular, to a method and device for identifying wind power measurement points. Background technique [0002] At present, the literature and technology on "busbar unbalance degree" mainly focus on discussing and solving the problem of unbalanced three-phase load in distribution systems of 66kV and below, and rarely on the problem of unbalanced busbar power in medium-voltage distribution systems containing wind power. involved. The active power imbalance of bus measurement caused by wind power measurement error is similar to the state estimation problem of the system. [0003] Although the active power imbalance problem of the busbar caused by the wind power measurement error is similar to the traditional system state estimation, the main disadvantage of the traditional state estimation algorithm is that it is generally believed that the observation error of the state ...

AI Technical Summary

Problems solved by technology

[0003] Although the problem of unbalanced busbar active power caused by wind power measurement errors is similar to traditional system state estimation, the main disadvantage of traditional state estimation algorithms is that it is generally believed that the observation errors of state quantities obey a specific distribution, such as normal distribution, which oversimplifies the model of random variable correlation

The above shortcomings make it difficult for traditional system state estimation methods to effectively carry out complex factors such as wind energy intermittency, volatility, and time-space correlation.

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