Power grid automation system and equipment running state risk assessment algorithm

Abstract

The invention relates to a power grid automation system and equipment running state risk assessment algorithm. The algorithm comprises the following steps of 1.1 feature extraction based on a Relief algorithm: equipment is abnormal because of interaction of one factor or a plurality of factors of the equipment during an equipment operation process; and the feature extraction means that from a lot of information collected from the equipment, the factor influencing a type of abnormity is extracted and irrelevant factors are rejected so that latter data analysis is performed; 1.2 similar sample gathering based on kmeans algorithm: through the Relief algorithm in the step1.1, a feature index sequence influencing an equipment operation risk is acquired; and through the k-means algorithm, a threshold scope of each feature index under each risk grade is calculated. By using the algorithm, there are the following advantages that aiming at each equipment, a specific state analysis threshold knowledge database is set so that a threshold error caused by an extraneous environment and an equipment self condition is avoided; and accuracy of alarm and early warning is ensured.

Description

technical field [0001] The invention belongs to the technical field of power system dispatching automation, uses data mining algorithms to analyze the relationship between automation equipment operation data and defects, generates an expert database of safety thresholds for equipment operation status, and then monitors and analyzes the real-time and staged operation status of equipment, Early warning of potential dangers in equipment operation to reduce system failures. Background technique [0002] With the increasing scale of the power grid, the safe and stable operation of the power grid is increasingly inseparable from the support of the automation system. The gradual expansion of the scale and coverage of the automation system also brings challenges to the daily operation and maintenance of automation professionals. How to efficiently and reasonably Controlling the systems under its jurisdiction is the key to automated operation and maintenance. [0003] Automation equ...

AI Technical Summary

Problems solved by technology

[0003] Automation equipment is the foundation of the system, and the healthy operation of the equipment is the prerequisite for the stable operation of the system. However, there are a large number of automation equipment, the relationship is complicated, and the management is difficult.

Although there is a monitoring system for automation equipment at this stage, most of them are post-event alarms, and the single alarm judgment rule is not adaptable, so there are cases where the alarm is inaccurate, and a large amount of manpower is still required for manual judgment

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