Method for online identifying measurement deviation fault for traction substation instrument transformer

Abstract

The present invention discloses a method for online identifying a measurement deviation fault for a traction substation instrument transformer. The method comprises the steps of: 1) modeling data selection and preprocessing: selecting data within I contiguous time points from instrument transformer valid measurement history data when a traction substrate is idle and all instrument transformer are operating properly, to form a matrix, and conducting standardized processing therefor; 2) establishing a primary element analysis model; 3) squared prediction error (SPE) calculation of the real-time sampling set of the instrument transformer; 4)online detection of the instrument transformer measurement deviation fault; (5) calculation of the SPE contribution values of the instrument transformers; and 6) identification of the instrument transformer subject to the measurement deviation fault. With the method according to the present invention, an instrument transformer subject to a measurement deviation fault can be online identified only by processing the measured valid data of all the instrument transformers in the traction substation, with no need of additionally arranging a waveform recording device. Therefore, the requirement on the hardware is low, the implementation cost is low, and the method is simple for promotion and application.

Description

technical field [0001] The invention relates to an online identification method for measurement deviation faults of transformers in traction substations. Background technique [0002] The transformer is an important equipment in the traction substation. It converts the high voltage and high current of the traction substation into low voltage and small current through electromagnetic induction for metering, monitoring and relay protection. If the transformer has a measurement deviation fault, that is, its output voltage or current value deviates, it will seriously affect the normal operation of the traction substation and the economical and efficient operation of the locomotive. In severe cases, it will cause relay protection to malfunction and cause safety accidents. Therefore, it is necessary to carry out online identification of the transformer, so that when the transformer has a measurement deviation fault, it can be dealt with in time to ensure the safe and reliable oper...

AI Technical Summary

Problems solved by technology

However, the established model is based on theoretical assumptions, and inevitably deviates from the actual circuit structure and environment of the traction substation, resulting in an unsatisfactory recognition effect

Moreover, the circuit structure and component parameters of each traction substation are different, and each traction substation needs to be modeled separately, which makes its implementation difficult and difficult to popularize and apply

[0006] Moreover, both of the above two methods require real-time acquisition of the waveform of the secondary side of the transformer, but currently most traction substations do not have this condition, and the data acquisition and monitoring control system used only collects the current or voltage measured by each transformer RMS data

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