Distribution network line operation risk perception method based on multi-data fusion

Abstract

The invention relates to a distribution network line operation risk perception method based on multi-data fusion. The method comprises the following steps: S1, selecting a distribution network line inan area, and carrying out reasonable segmentation processing; S2, preprocessing and normalizing the state variable data recorded by each segmented distribution network line; S3, performing multi-datafusion; S4, dividing the distribution network line fault risks into a plurality of categories according to the previous fault conditions, verifying the effectiveness of risk state evaluation by utilizing the historical data of the segmented distribution network line state variables, calculating the real-time risk condition of each segmented distribution network line through the online data of thesegmented distribution network line state variables, and effectively evaluating the risk state of the distribution network line; and S5, distribution network line operation condition risk probabilitydistribution: performing risk state evaluation on the segmented distribution network line, and obtaining an analysis probability distribution condition of the segmented distribution network line under the operation condition through calculation. The method is of great significance to real-time monitoring of distribution network lines, avoidance of major distribution network line accidents and improvement of regional power supply reliability.

Description

technical field [0001] The present invention relates to the technical field of intelligent distribution network data mining and processing, and more specifically, to a risk perception method for distribution network line operation based on multi-data fusion. Background technique [0002] Distribution network is an important part of power system. With the development of social economy and the improvement of people's living standards, people put forward higher requirements for the construction and management of distribution network. However, in the traditional evaluation of distribution network operation status, it is limited by narrow data collection channels or low data integration and processing capabilities, making it difficult for researchers to dig out more valuable information, such as potential risk information, etc. . Nowadays, due to the popularization and application of application systems such as distribution automation and power consumption information collection...

AI Technical Summary

Problems solved by technology

However, due to the large amount of distribution network data and the complexity of risk categories, this method cannot integrate distribution network data well to achieve effective classification analysis

[0004] During the operation of the distribution network line, with the increase or decrease of large load, line aging and other unstable factors, various types of failures that endanger the safe operation of the distribution network are prone to occur. Seriously affect the safe operation of distribution network lines, causing large-scale power outages and other accidents

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