Intelligent monitoring and early warning system and method for converter station equipment

Abstract

The invention discloses an intelligent monitoring and early warning system for converter station equipment. The system comprises a data acquisition module, a data preprocessing module, an equipment fault prediction module and an equipment early warning module. The data acquisition module is used for acquiring the state data of the converter station equipment; the data preprocessing module is usedfor carrying out intelligent trend classification, missing value intelligent filling, abnormal value processing and data standardization processing on the data of an equipment state sensor; the equipment fault prediction module is used for carrying out data feature selection on the standardized data obtained by the data preprocessing module, and training, predicting and evaluating equipment parameter monitoring data through an LSTM network according to data features; and the equipment intelligent early warning module is used for comparing a fault threshold expert knowledge base with an outputequipment state prediction result and carrying out intelligent early warning on the equipment. According to the method, the relation between historical monitoring data and different monitoring data ofthe converter station equipment is effectively utilized, an intelligent monitoring and early warning system of the converter station equipment is established, and timely early warning of equipment state parameters is achieved.

Description

technical field [0001] The invention relates to the field of status monitoring of converter station equipment, in particular to an intelligent monitoring and early warning system and method for converter station equipment. Background technique [0002] With the continuous development of smart grid and global energy Internet, my country's power grid is rapidly evolving into a system that gathers multi-dimensional massive data and multi-type complex calculations, and shows different capabilities in the fields of power generation, transmission, transformation, distribution, and use. features. [0003] In the field of power transmission and transformation, on the one hand, the large-scale construction of UHV power grids has made power grid companies have higher and higher requirements for power supply reliability, safety, and economy; With more and more monitoring items, more and more monitoring items, and more and more diversified monitoring data, a large amount of multi-source...

AI Technical Summary

Problems solved by technology

[0006] 1. Poor timeliness: It takes about four hours for the inspection personnel to complete a data comparison work, and the small data fluctuations caused by minor equipment failures are not easy to be found, and the subjective ability of the personnel leads to large deviations in the data comparison quality. Faults are detected or not detected after a long run

[0007] 2. Low accuracy: In the strong magnetic field environment of the UHV converter station, electrical components such as sensors are susceptible to interference, resulting in increased probability of noise data or even wrong data during data collection, and the reaction to the background is manifested as frequent false alarms and alarms Accuracy is greatly reduced

[0008] 3. The level of failure prediction is low: the current auxiliary monitoring system evaluates the data status by simply comparing the collected data with the preset value.

When the equipment shows a slow deterioration trend, but has not yet reached the alarm value, the auxiliary monitoring system cannot judge this state

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