摘要
将态势感知技术应用于智能电网中,提出一种针对智能电网的态势评估模型,结合自回归(AR)预测模型、最小二乘支持向量机(LSSVM)预测模型、RBF神经网络预测模型等预测方法,实现基于信息融合的组合预测方法.经实测数据验证分析,该方法可以有效地描述电网网络安全的态势发展情况,且预测精度高于单一的预测模型.
Information security intelligent power grid is important issue concerned in national energy source security and economic lifelines. In this paper, the situation awareness technique is used in the intelligent power grid and a situation assessment model was proposed for this power grid. The autoregressive （AR） prediction model, least squares support vector machine （LSSVM） prediction model, and RBF neural network prediction model were integrated with this method to form an information fusion-based integral prediction model. It was known after analysis and validation of actually tested data, that this method could be used to effectively describe the situation development of network security of power grid, and the prediction precision would be higher than that of single prediction model.
出处
《兰州理工大学学报》
CAS
北大核心
2015年第4期99-103,共5页
Journal of Lanzhou University of Technology
关键词
智能电网
信息安全
态势感知
组合预测
intelligent power grid
information security
situation awareness
integral prediction
