基于神经网络的母线保护方法的研究

针对基于ANN分类能力的母线保护方法需要大量故障样本，而完整的故障样本获取不易的问题，提出了基于ANN函数逼近能力的母线保护方法，构建了母线保护的ANN数学模型，应用MATLAB软件平台对模型进行仿真训练，经过训练以后的母线保护的ANN模型，能正确判断母线的区内和区外故障，从而验证了基于ANN函数逼近能力的母线保护方法的正确性。

Research of Bus Protection Method Based on ANN

Enough fault samples are crucial for the performance of bus protection based on classification ability,but limited sample data can be actually available for the training of model.In order to overcome the drawback,innovative principle for ANN bus protection based on function approximation ability is presented in this paper.An ANN model is designed,and realized with MATLAB.The inner or outer fault of bus can be successfully distinguished with the ANN training model.So the principle for ANN bus protection based on function approximation ability is valid.