摘要
提出一种利用概率神经网络来进行母线故障识别的新方法。首先用PSCAD/EMTDC软件对母线故障状态进行仿真,提取仿真数据,进行数据预处理,然后建立概率神经网络模型,训练网络后判断母线的区内、区外故障及正确识别各种故障类型,从而验证基于概率神经网络的母线故障识别的准确性。
A new method based on probabilistic neutral network （PNN） is proposed to identify the fault of bus. Firstly, the software of PSCAD/EMTDC is used to simulate the state of the fault bus, and the data is abstracted and preprocessed. Then a model of PNN is established. Sequentially, the accuracy of bus fault identification based on PNN can be verified by discrimi- nating all kinds of bus faults correctly after training.
出处
《四川电力技术》
2013年第6期39-42,共4页
Sichuan Electric Power Technology
关键词
概率神经网络
母线故障
故障识别
probabilistic neutral network
bus fault
fault identification
