人工神经网络方法在电力系统故障诊断中的应用  

Application of Artificial Neural Network in Power System Fault Diagnosis

作　　者：操星 费章君 Cao Xing;Fei Zhangjun(NANJING ODYSEC INFORMATION TECHNOLOGY Co.,LTD,Nanjing Jiangsu,210000)

机构地区：[1]南京征途信息技术有限公司,江苏南京210000

出　　处：《电子测试》2020年第24期93-94,共2页Electronic Test

摘　　要：人工神经网络是机器学习中的一种方法和技术,已广泛应用于工程和技术中。电力系统故障诊断问题复杂,情况多变,采用常规的方法较难实现准确诊断。目前常用的神经网络包括感知器、单层网络、BP网络和径向基网络等,每一种网络都有不同的特点和用途,在电力系统故障诊断中常用BP网路和径向基网络等。网路可在MATLAB中进行创建和训练与仿真,同样可建立电力系统故障模型,并对模型进行仿真。因此,介绍了人工神经网络的基本概念与应用场合等,并介绍了神经网络和电力系统模型在软件中实现的方法,为电力系统智能故障诊断提供参考。Artificial neural network is a method and technology in machine learning,which has been widely used in engineering and technology.The problem of power system fault diagnosis is complex and changeable,so it is difficult to achieve accurate diagnosis by using conventional methods.At present,the commonly used neural networks include perceptron,single-layer network,BP network and radial basis function network.Each network has different characteristics and uses.BP network and radial basis function network are commonly used in power system fault diagnosis.The network can be created,trained and simulated in MATLAB,and the power system fault model can also be established and simulated.Therefore,this paper introduces the basic concept and application situation of artificial neural network,and introduces the realization method of neural network and power system model in software,which provides reference for intelligent fault diagnosis of power system.The simulation results show that the frame basically does not resonate and the structure is reasonable.

关 键 词：神经网络 电力系统 故障诊断 MATLAB 仿真模型 

分 类 号：TM711[电气工程—电力系统及自动化] TP183[自动化与计算机技术—控制理论与控制工程]