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Online transformer winding work state monitoring method

A technology for transformer windings and working states, applied in neural learning methods, instruments, measurement of electricity, etc., can solve the problems of many winding conditions, no identification criteria, complex frequency response waveforms, etc., to reduce the failure damage rate, and the judgment method is efficient. , easy to implement effect

Active Publication Date: 2013-03-27
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +1
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AI Technical Summary

Problems solved by technology

[0017] The test sensitivity of the frequency response method is higher than that of the short-circuit impedance method. However, due to the complexity of the frequency response waveform, the judgment of the winding condition requires more experience, and it is difficult to form a clear quantitative criterion. Therefore, no criterion has been formed so far.

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  • Online transformer winding work state monitoring method
  • Online transformer winding work state monitoring method
  • Online transformer winding work state monitoring method

Examples

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Embodiment Construction

[0040] Taking a 220kV transformer in a substation of a power company as the test object for online monitoring, follow the steps below to judge the working status of the transformer winding:

[0041] (1) The vibration sensor is arranged on the box wall of the transformer, and the vibration signal of the transformer box wall is collected in real time; simultaneously, a voltage transformer and a current transformer are used to collect the three-phase voltage signal and the three-phase current signal of the transformer respectively;

[0042] (2) Perform anti-aliasing digital filtering and caching of the collected vibration signals, and then transmit the three-phase voltage signals and three-phase current signals of the transformers collected by the voltage transformer and current transformer to the data through the high-speed bus analysis module;

[0043] (3) Calculate the corresponding three power factors according to the three-phase voltage and the three-phase current. This calc...

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Abstract

The invention discloses an online transformer winding work state monitoring method. The online transformer winding work state monitoring method includes steps of acquiring transformer box wall vibration signals, three-phase voltage signals of the transformer and three-phase current signals, correspondingly calculating three power factors according to the three-phase voltage signals and the three-phase current signals of the transformer; building a transformer box wall vibration model on the basis of generalized autoregression neural network; comparing amplitude of 100Hz component of the transformer box wall vibration signals with expected output quantity of the transformer box wall vibration model, judging that running state of a transformer winding is normal if the relative error is smaller than a threshold value; and judging that the transformer winding is loose or deformed when the relative error is larger than the threshold value. The online transformer winding work state monitoring method can effectively sensitively online monitor looseness and deformation of the transformer winding, and accordingly, the transformer can be overhauled or replaced in time, and fault of short circuit of the transformer resulting from the damage of the winding is avoided.

Description

technical field [0001] The invention relates to a signal monitoring method, in particular to an online monitoring method for the working state of a transformer winding. Background technique [0002] Transformer is one of the most important equipment in the power system, and the stability of its operation has a great influence on the safety of the power system. With the increasing capacity of my country's power grid, the short-circuit capacity is also increasing. The huge electromagnetic force generated by the surge current formed by the short-circuit of the transformer outlet poses a serious threat to the mechanical strength and dynamic stability of the transformer winding. At present, the operating environment of substation equipment and lines is not optimistic. The deformation of transformer winding caused by external short circuit is a relatively common fault in the process of transformer operation, which poses a great threat to the safe operation of the system. [0003]...

Claims

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Application Information

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IPC IPC(8): G01R31/00G01R31/06G06N3/08
Inventor 李清蔡开穗李越王丰华金之俭
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
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