Power transmission and transformation suspicious data screening method and device based on random forest model

A random forest model, power transmission and transformation technology, applied in the field of power grid, can solve the problems of weak perception of limit jumps, no consideration of characteristics, and failure to consider periodic and seasonal changes of power data, so as to reduce workload, The effect of improving data quality

Active Publication Date: 2019-08-09
NARI TECH CO LTD +4
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Problems solved by technology

The advantage of this method is that it is simple and easy to operate, but the disadvantage is that the limit value is often a fixed value, which cannot consider the characteristics of periodic and season

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  • Power transmission and transformation suspicious data screening method and device based on random forest model
  • Power transmission and transformation suspicious data screening method and device based on random forest model
  • Power transmission and transformation suspicious data screening method and device based on random forest model

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Embodiment Construction

[0017] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings. It should be understood that the embodiments provided below are only intended to disclose the present invention in detail and completely, and fully convey the technical concept of the present invention to those skilled in the art. The present invention can also be implemented in many different forms, and does not Limited to the embodiments described herein. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention.

[0018] Such as figure 1 As shown, a screening method for power transmission and transformation suspicious data based on an optimized random forest model follows the following steps:

[0019] Step S1, collecting historical data.

[0020] Taking power transmission and transformation equipment as the object, according to the category and periodicity of the equipment, data of multiple dimens...

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Abstract

The invention provides a power transmission and transformation suspicious data screening method and device based on a random forest model, and the method comprises the steps: S1, selecting data of multiple dimensions according to the category and periodicity rule of power transmission and transformation equipment, and building a data feature item; S2, distributing different weights for the data according to the sampling time, respectively marking known normal data and abnormal data as positive and negative samples, and dividing a data set into K parts; S3, training a random forest model by adopting a K-fold cross validation method, iteratively adjusting the number T of trees in the random forest by taking an average value of positive and negative sample accuracy as a target, and obtaininga value of T when an index is optimal; and S4, screening suspicious data by using the trained model. Power transmission and transformation equipment is used as an object to construct a suspicious datascreening object, a random forest model of an optimization training set is used for learning data rules from a large amount of historical sampling data, power transmission and transformation suspicious data identification and screening are achieved, the workload of manual screening is reduced, and the data quality of an electric power regulation and control system is improved.

Description

technical field [0001] The invention relates to a random forest model-based power transmission and transformation suspicious data screening method, which is used for correctness screening of power transmission and transformation sampling data in an automation system, and belongs to the technical field of power grids. Background technique [0002] With the continuous development of smart grids, the types and scales of basic data collection of power transmission and transformation equipment by modern power dispatching automation operation systems are also expanding. However, due to different infrastructure construction periods and different collection methods, the data quality levels are also different. Similarly, if special circumstances such as equipment failure occur, it is likely to cause missing or abnormal data to enter the data storage system. Correct and reliable sampling data is the basis for data analysis and mining of power system applications. In order to ensure th...

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Application Information

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IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/24323G06F18/214
Inventor 高尚李慧辉翟明玉孙世明陈玉慧许寒阳陈宁季堃马洁唐元合
Owner NARI TECH CO LTD
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