Power grid fault intelligent discrimination method based on multi-dimensional panoramic data

Abstract

The invention discloses a power grid fault intelligent discrimination method based on multi-dimensional panoramic data. The method comprises the steps of obtaining electrical quantity information andswitching value information during a fault; searching the power grid fault area to form a fault element set; carrying out modal decomposition on the electrical quantity, and carrying out analysis processing on a fault current signal in the fault element set to obtain a corresponding element fault degree, i.e., defined fault probability representation; processing and analyzing the switching value to obtain a corresponding element fuzzy fault degree; performing multi-source information fusion on the fault degree; performing multi-source information fusion on the fault feature degree by applyingan improved D-S evidence theory; and performing fault diagnosis according to a fault diagnosis decision method to obtain a fault element; by using the method, when the influence of the electrical information amount during the fault period on the fault diagnosis is neglected in the power grid fault diagnosis, and erroneous judgment and other technical problems may occur can be solved.

Description

technical field [0001] The invention relates to the field of fault diagnosis in power grids, in particular to an intelligent fault discrimination method for power grids based on multi-dimensional panoramic data. Background technique [0002] In recent years, with the access of large-scale new energy and direct current transmission, the scale of the power grid is expanding and the structure is becoming more and more complex. In addition, users need higher and higher power quality, and there is a certain risk of failure in the power grid. When a fault occurs in the power grid, grid dispatchers need to quickly and accurately judge the information of the faulty component. Therefore, research on fault diagnosis of the power grid is of great significance to ensure the continuous, safe and stable operation of the power grid. [0003] At present, the basis for judging fault component information in power grid fault diagnosis mainly comes from the basic topology information of the po...

AI Technical Summary

Problems solved by technology

However, the applicable objects of the above methods are all switches, ignoring the influence of the electrical information during the fault period on fault diagnosis

Due to the risk of misoperation of switching equipment in the relay protection system, only using the switch information to judge the fault information has certain limitations, which will lead to inaccurate fault diagnosis results, and may even cause misjudgment.

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