Pilot protection method and device and storage medium

Abstract

The invention provides a pilot protection method and device and a storage medium. The method comprises the following steps: acquiring time domain signal data of a target element at a preset sampling frequency; performing fusion processing on the time domain signal data of the plurality of first sampling periods to obtain first time domain signal combined data; based on a machine learning model, judging whether the target element has a fault according to the first time domain signal combination data; when it is judged that the target element breaks down according to the first time domain signal combination data, whether the target element breaks down in a second sampling period or not is judged according to the second time domain signal combination data based on a machine learning model, and the second sampling period is a sampling period after it is judged that the target element breaks down; and when it is judged that the target element has the same type of faults in multiple continuous second sampling periods, controlling the pilot protection system to execute a protection action on the target element. A machine learning model is utilized to realize fault identification of power system elements, so that the protection performance of a smart power grid is remarkably improved.

Description

technical field [0001] The present application relates to the technical field of electric power system relay protection, in particular to a method, device and storage medium for pilot protection. Background technique [0002] With the ubiquitous access of information technology, information sharing has become a prominent feature of smart grid. The time-domain signal of the shared power collection information in the smart substation and the smart grid is used to directly perform data fusion to describe physical phenomena. [0003] Existing longitudinal protection methods such as proportional braking differential protection have been used in engineering for many years, and have good application effects in traditional power grids, but they need to extract frequency domain components and depend on setting values ​​and complex criteria. In the future smart grid, considering the wide access of large-scale intermittent energy sources and power electronic equipment, the operation o...

AI Technical Summary

Problems solved by technology

[0003] Existing longitudinal protection methods such as proportional brake differential protection have been used in engineering for many years, and have good application effects in traditional power grids, but they need to extract frequency domain components and depend on setting values ​​and complex criteria

In the future smart grid, considering the wide access of large-scale intermittent energy sources and power electronic equipment, the operation of the power system will face various uncertainties, showing the aliasing of dynamic processes with various time constants, resulting in the distortion of system fault characteristics. Huge changes, which can make it difficult for the protection function under the existing design mode to have sufficient coping capacity

Images