智能技术在配电网故障检测与诊断中的应用

Application of Intelligent Technology in Fault Detection and Diagnosis of Distribution Network

阐述基于神经网络的智能模型。采用深度学习技术对故障信息进行分析处理,运用PSCAD仿真软件,对配电网进行实时监测,收集故障数据样本,并引入支持向量机(SVM)算法进行故障预测。

This paper describes intelligent models based on neural networks.Using deep learning technology to analyze and process fault information,using PSCAD simulation software to monitor the distribution network in real-time and collect fault data samples.It introduces support vector machine(SVM)algorithm for fault prediction.