隐含层对人工神经元网络电压安全评估的影响  

EFFECTS OF HIDDEN LAYERS OF ARTIFICIAL NEURAL NETWORKS ON VOLTAGE SECURITY ASSESSMENT

作　　者：付英[1] 曾敏[1] 李兴源[1] 刘俊勇 王贵德[1] 

机构地区：[1]四川联合大学电力系

出　　处：《电力系统自动化》1996年第11期13-16,22,共5页Automation of Electric Power Systems

基　　金：国家自然科学基金

摘　　要：电力系统电压安全评估对电力系统运行与控制的安全性、稳定性是极其重要的。隐含层对人工神经元网络（ＡＮＮ）训练的速度、精度和收敛性有很大的影响。该文利用ＡＮＮ对某一实际电力系统进行电压安全评估。Voltage security assessment is important for security and control electric power systems. Hidden layers of Artificial Neural Networks(ANN) have large effects on the speed, precision and convergence for training the ANN. A Voltage security assessment of a practical power system based on ANN has been completed in this paper, and the effects of the number of hidden layers and nodes on the ANN are also discussed.

关 键 词：神经网络 电压 安全 电力系统 

分 类 号：TM732[电气工程—电力系统及自动化]