A Cascading Failure Prediction Method in Power System Based on Nonlinear and Non-Gaussian Time Sequence Prediction Model

摘要：

To effectively predict cascading failure in power system,the nonlinear and non-Gaussian time sequence prediction model is constructed and nonlinear and non-Gaussian time sequence prediction procedure was built by RBF neural network and HMM. A cascading failure prediction method in power system based on nonlinear and non-Gaussian time sequence prediction model was established to investigate the emergent behaviors of cascading failures and to further study the prediction and defense of cascading failures. Finally,the cascading failure prediction simulation system of power system based on this method was demonstrated and validated by QUEST software. The result showed that the proposed method was available,and can provided guidance for avoiding and predict cascading failure in power system,and support for stable performance in power system.

关键词： Cascading failure Power system Prediction Non-Gaussian time sequence

作者: Baofeng Zhang Hong Xia Xiaojuan Wu

作者单位: Nuclear science and technology school,Harbin Engineering University,Harbin,China,150001 Xian University of Architecture and Technology,Xian,China, 710055

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 1236-1239

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）