电力变压器继电保护及故障诊断中神经网络技术的应用

ELECTRICAL POWER TRANSFORMER RELAY PROTECTION AND FAULT DIAGNOSIS USING ANN TECHNIQUE

变压器是电力系统的重要设施之一 ,它的可靠运行对电力系统的安全、经济运行具有重大意义。本文主要探讨采用人工神经网络技术对电力变压器进行继电保护及故障诊断。结果表明 ,人工神经网络对于电力变压器的励磁涌流与短路电流及其它的故障电流有更强的识别能力 ,从而能有效的保证继电保护动作的准确性。

This paper discussed an neural network(ANN) approach to relay protect and detect faults in electrical power transformers.The result shows that the inrush current and the fault current in transformers can be better identified by using neural netword technique than by using other techniques.As a result,the accuracy of relay protective operation can be assured.