摘要
人工神经网络以其可学习的特性和其高度的并行结构在电力系统暂态稳定分析中具有极大的应用潜力。本文阐述了应用较为广泛的逆导(BP)人工神经网络模型求解电力系统故障后的稳定平衡点和确定暂态极限功率。实例证明,本文提出的这种新方法计算速度快、精度高。具有很强的自适应性和工程实用的广阔前景。
The artificial neural network has great application potentialities in transient stability analysis of electric power system for its learnable characteristic and its parallel structure.This paper presents a new method to define stable balance point and transient limit power of the electricpower system after fault by using the back-propagating artificial neural network.This new method enables the system high precision,fast calculation and good adaption.
出处
《电气传动自动化》
1995年第2期39-42,共4页
Electric Drive Automation
关键词
人工神经网络
暂态稳定
极限功率
稳定平衡点
artificial neural network,transient stability,limit power,stable balance point