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Data quality evaluation method for power grid dispatching automation system based on big data

A data quality assessment, automated system technology, applied in data processing applications, instruments, resources, etc., can solve problems such as inability to use historical data, and achieve good results

Pending Publication Date: 2019-08-13
南京易司拓电力科技股份有限公司
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AI Technical Summary

Problems solved by technology

However, it requires accurate topological information and cannot utilize massive historical data

Method used

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Embodiment Construction

[0017] A data quality assessment method for a power grid dispatching automation system based on big data, comprising the following steps:

[0018] Step 1: Obtain the data of the scheduling system, classify the acquired data according to the equipment, and construct the sample space X with the data of each equipment.

[0019] Step 2: According to the sample space X established in step 1, perform KNN algorithm to classify all sample points p in the sample space X, and output samples that may be outliers in the sample space.

[0020] Step 3: According to the sample space X established in step 1, perform the local outlier factor algorithm LOF algorithm on all sample points p in the sample space X, and output samples that may be outliers in the sample space X.

[0021] Step 4: According to the sample space X established in step 1, use the INFLO algorithm on the samples in the sample space X, and output the samples that may be outliers in the sample space X.

[0022] Step 5: Compar...

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Abstract

The invention particularly relates to a data quality evaluation method for a power grid dispatching automation system based on big data, which comprises the following steps: acquiring data of a dispatching system, classifying the acquired data according to equipment, and constructing data of each equipment into a sample space X; establishing a sample space X, carrying out KNN algorithm classification on all sample points p in the sample space X, and outputting samples which may be outliers in the sample space; according to the established sample space X, carrying out a local outlier factor algorithm LOF on all sample points p in the sample space X, and outputting samples which may be outliers in the sample space X; according to the established sample space X, outputting samples which may be outliers in the sample space X through an INFLO algorithm on the samples in the sample space X; comparing the results obtained in the step 2, and determining that the sample is an abnormal point ifthe occurrence frequency of the same sample in the three results is greater than or equal to two; outputting data of the anomalous points.

Description

technical field [0001] The invention relates to a power grid dispatch automation system, in particular to a data quality evaluation method for a power grid dispatch automation system based on big data. Background technique [0002] With the development of communication technology, electronic computer information technology and the improvement of automation level of power production scheduling. The modern electric power production scheduling automation system is based on an integrated, high-speed two-way communication network. Through the application of advanced sensing and measurement technology, advanced equipment technology, advanced control method and advanced decision support system technology, the power grid Reliable, safe, economical, efficient, environmentally friendly and safe to use. The power grid dispatching automation system produces massive data, but there is also a large amount of invalid data in the massive data. There are various reasons for these invalid d...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06395G06Q50/06
Inventor 罗耀强张珍凤陈俊长
Owner 南京易司拓电力科技股份有限公司
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