On-Line Transient Stability Assessment Using Hybrid Artificial Neural Netwok

摘要：

On-line transient stability assessment of a power system is not yet feasible due to the intensive computation involved. Artificial neural network has been proposed as one of the approaches to this problem because of its ability to quickly map nonlinear relationships between the input data and the output. In this paper a hybrid neural network for TSA is proposed. The proposed hybrid neural network is composed of a Kohonen network and several radial-basis function (RBF) networks. It possesses properties of both kinds of networks. So, its ability of TSA is improved. The proposed hybrid neural network is applied for an actual power grid, the obtain results confirm the validity of the developed method. Also, a comparison between the proposed neural network and other ones is present, which indicates the efficiency of the proposed neural network.

关键词： Artificial neural network On-line Transient stability assessment Power system

作者: LI Chunyan TANG Biqiang CHEN Xiangyi

作者单位: Wuhan University, China Nanjing Automation Research Institute, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）