电工技术学报2001，Vol.16Issue(2)：83-87,5.
基于模糊神经网络的电力系统暂态稳定控制决策
Power System Transient Stability Decision-Making Based on Fuzzy Neural Networks
林飞 1刘玉田 1邱夕照2
作者信息
- 1. 山东大学电力工程学院
- 2. 山东电力调度中心
- 折叠
摘要
Abstract
This paper presents a method for decision-making of generator-tripping and loadshedding based on fuzzy neural networks which use a short window of post-fault generator power angles from PMUs. The whole neural network consists of classification part and decision part. The first part is a fuzzy competed radial basis function network, and the decision part is a fuzzy competed BP network. The simulation results of a real 49-machine system demonstrate that the proposed method is effective.关键词
暂态稳定/神经网络/同步相量测量/电力系统分类
信息技术与安全科学引用本文复制引用
林飞,刘玉田,邱夕照..基于模糊神经网络的电力系统暂态稳定控制决策[J].电工技术学报,2001,16(2):83-87,5.
