Transformer winding short-circuit fault online detection method based on space three-dimensional curve analysis

Abstract

The invention provides a transformer winding short-circuit fault online detection method based on spatial three-dimensional curve analysis. A delta V-I1-delta I spatial three-dimensional curve track is constructed through sinusoidal quantities represented by a primary-side and secondary-side voltage difference, a primary-side currents and a primary-side and secondary-side current difference, so that the online detection and positioning of a transformer winding turn-to-turn short circuit fault are realized; by comparing and analyzing an elliptical orbit difference of a spatial three-dimensionalcurve on different projection planes, the online detection and fault position judgment of a winding short-circuit fault are realized. The method provided by the invention comprises more fault featureinformation, can detect whether the transformer winding has a short-circuit fault or not and the severity degree of the fault in a non-stop state of the transformer, also can achieve the discrimination of the position of the winding short-circuit fault, and provides a reference for a worker to find and eliminate a fault hidden danger in time.

Description

technical field [0001] The invention relates to the field of on-line detection of short-circuit faults of power transformer windings, in particular to an online detection method of short-circuit faults of transformer windings based on spatial three-dimensional curve analysis. Background technique [0002] As the core equipment of the power system, the transformer's efficient, reliable and trouble-free operation is an important prerequisite for reliable power supply. However, power transformers have various failure factors in the complex field operation environment, and winding deformation failure is one of the important reasons that may lead to transformer damage. Winding deformation faults have a cumulative effect. With the continuous development of fault severity, sudden catastrophic accidents or equipment outages may occur in transformers, which will cause huge losses to the national economy and bring inconvenience to people's production and life. . For this reason, sch...

AI Technical Summary

Problems solved by technology

Although the △V-△I two-dimensional curve analysis can carry out online detection and identification of the severity of the winding short-circuit fault, it is difficult to effectively evaluate the location of the winding fault, which is obviously not conducive to the staff to find and eliminate hidden faults in time

[0004] For a single-phase transformer, there are four quantities that can be measured by existing measuring equipment, namely Based on △V-I 1 The online detection method of transformer internal fault based on curve trajectory analysis only uses three quantities, namely and and Although the difference in value and phase is very small, due to the existence of the excitation branch, the two will not be completely equal

neglect It may cause the loss of some important fault characteristic information, which may have an adverse effect on accurately judging the type and location of the fault

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