摘要
对如何借助人工神经网络理论在线实施利用改构提高电力系统暂态稳定水平进行了研究。在明确了在线实施的总体思路后,提出了基于电力系统运行模式和人工神经网络的在线实施具体步骤,并对训练样本的产生、特征选择等问题进行了讨论。
An artificial neural nets based on-line implementation to enhance power system transient stability by reconstruction is studied.After the idea of the on-line implementation is clarified,the procedure of the strategy is proposed and problems,such as the generating of training samples and the selection of features,are discussed.
出处
《东北电力学院学报》
1998年第2期1-7,共7页
Journal of Northeast China Institute of Electric Power Engineering
关键词
电力系统
结构改变
暂态稳定
人工智能
power system,reconstruction,transient stability,artificial intelligence