量子神经网络算法在电网故障诊断中的应用

Quantum Neural Network Algorithm in Qower System Fault Diagnosis

将量子神经网络(QNN)方法应用到电网故障中,建立故障诊断模型。首先以保护装置和断路器的动作信息为条件属性集,建立电网故障决策表,然后将简化后的决策表作为训练样本,训练量子神经网络,使网络具有故障诊断功能。仿真实验结果表明,提出的算法有效提高了故障诊断的正确性和效率。

QNN method is applied to power system fault, the establishment of fault diagnosis model. First, to protect the device and circuit breaker action information for the condition attribute set, the building of power grid fault decision table, and then the simplified decision table as training samples, quantum neural network training, the network with fault diagnosis. The simulation results show that, the algorithm can effectively improve the accuracy and efficiency of fault diagnosis.