电力系统自动化2019，Vol.43Issue(1)：158-167,10.DOI:10.7500/AEPS20180705012
基于FARIMA模型的智能变电站通信流量异常分析
FARIMA Model Based Analysis of Communication Traffic Anomaly in Smart Substation
摘要
Abstract
With the rapid development of power transmission and transformation equipment automation and smart substation construction, the hidden danger of grid information security is increasingly prominent.Accurate and reliable traffic modeling and anomaly detection method of substation communication network (SCN) have become very important to prevent network security problems and identify cyber attacks.Based on the analysis of behavior characteristics of network traffic on the control layer of substation station, this paper proposes the fractional autoregressive integrated moving average (FARIMA) model to construct the threshold model for network traffic.Aiming at the typical cyber-attack mode and traffic anomaly characteristics of substation, the traffic data on the control layer of an actual substation station is analyzed based on the operation state assessment algorithm.And the probability of typical network anomaly is calculated.Finally, the safety situation evaluation of the substation is realized under the cyber attacks.关键词
IEC 61850/分形自回归积分滑动平均模型/智能变电站/通信流量/回归模型Key words
IEC 61850/fractional autoregressive integrated moving average (FARIMA) model/smart substation/communication traffic/regression model引用本文复制引用
郝唯杰,杨强,李炜..基于FARIMA模型的智能变电站通信流量异常分析[J].电力系统自动化,2019,43(1):158-167,10.基金项目
国家重点研发计划资助项目(2017YFB0903000) （2017YFB0903000）
国家自然科学基金资助项目(51777183) （51777183）
浙江省重点研发计划资助项目(2018C01008) This work is supported by National Key R&D Program of China (No. 2017YFB0903000) , National Natural Science Foundation of China (No. 51777183) and Zhejiang Provincial Key R&D Program of China (No. 2018C01008). （2018C01008）
