Information fusion-based data reliability identification method of intelligent substation

Abstract

The invention discloses an information fusion-based data reliability identification method of an intelligent substation. Sampling information and characteristics of other intervals on buses connected to two ends of a circuit and each side of a main transformer are fused, SV data of virtual combination corresponding to bus protection combination is sent to circuit protection and main transformer protection, information of a CT breakage line, knife switch abnormality and the like are set to be corresponding data quality, other information (such as current abrupt change, harmonic components, zero-negative sequence current change and the like of other intervals) of the data is sent to circuit protection and main transformer protection corresponding to the intervals connected with the buses through GOOSE by bus protection, large differential action containing the buses and circuit / main transformer ranges are added to circuit / main transformer protection, data reliability identification is performed according to the information, reliable shutting can be performed by means of large differential information when the received SV is abnormal, and effective open can be achieved when a fault in a region occurs. By the method, the protection reliability is improved.

Description

technical field [0001] The invention relates to an information fusion-based intelligent substation data reliability identification method, which belongs to the technical field of electric power system automation. Background technique [0002] At present, in intelligent station substations, a large number of applications of merging units are convenient for information sharing. At present, due to the harsh electromagnetic environment where merging units are located, abnormalities such as merging unit anomalies, double AD inconsistencies, or flying spots often occur. A lot of research work has been done on data anomalies to avoid protection misoperations when abnormalities occur. However, due to limited data sources and some abnormal data are close to fault characteristics, accidents of protection misoperations occur from time to time. Because the information collected by the merging unit is provided to multiple protection devices (such as the line merging unit, for line protec...

AI Technical Summary

Problems solved by technology

However, due to the threshold value and the limitations of the data source itself, the algorithm itself cannot perfectly solve the problem of abnormal data.

[0006] Therefore, in the existing identification method, only the merging unit and the protection device are used to discriminate the collected data involved in themselves, the data source is limited, and when the abnormal data is close to the fault feature, it is easy to cause protection malfunction

Images