文章摘要
章坚民,张嘉誉,倪明,等.智能变电站通信网络的广义信源和流量计算模型[J].电力系统自动化,2019,43(13):147-155. DOI: 10.7500/AEPS20180912008.
ZHANG Jianmin,ZHANG Jiayu,NI Ming, et al.Generic Message Source and Flow Calculation Model for Communication Network in Smart Substation[J].Automation of Electric Power Systems,2019,43(13):147-155. DOI: 10.7500/AEPS20180912008.
智能变电站通信网络的广义信源和流量计算模型
Generic Message Source and Flow Calculation Model for Communication Network in Smart Substation
DOI:10.7500/AEPS20180912008
关键词: 信息物理融合  广义信源模型  通信网络流量计算  网络演算法  OPNET
KeyWords: cyber physical fusion  generic message source model  message flow calculation for communication system  network calculus method  OPNET
上网日期:2019-04-26
基金项目:国家自然科学基金委员会-国家电网公司智能电网联合基金(U1866209);国家自然科学基金资助项目(51677047)
作者单位E-mail
章坚民 杭州电子科技大学自动化学院, 浙江省杭州市 310018 zhangjmhzcn@hdu.edu.cn 
张嘉誉 杭州电子科技大学自动化学院, 浙江省杭州市 310018  
倪明 南瑞集团有限公司(国网电力科学研究院有限公司), 江苏省南京市 211106  
李康毅 国网绍兴供电公司, 浙江省绍兴市 312000  
金乃正 国网绍兴供电公司, 浙江省绍兴市 312000  
杨才明 国网绍兴供电公司, 浙江省绍兴市 312000  
摘要:
      对于智能变电站而言,用于预测各类场景下通信网络流量的计算模型至关重要。文中首先提出了基于信息物理融合的广义信源模型,包括一次系统状态激励的电力二次智能装置报文模型、信息设备物理故障信源模型以及寄生的拒绝服务(DoS)攻击信源模型等,形成信息设备的综合信源报文模型。然后,在网络演算链路汇流方法的基础上,给出了基于广义信源的智能电网信息流流量分布矩阵定义以及演算方法,形成了明确、详细的定量分析计算流程。最后,对过程层信息设备故障、DoS攻击及一次侧设备故障的大小方式等典型运行场景,分别进行理论计算算例验证,并对其进行OPNET仿真验证,证明了所提方法的有效性。
Abstract:
      The model used to predict the message flow of communication network in various scenarios is very important for smart substation. A generic source model based on cyber physical fusion is firstly proposed, including spontaneous message model of intelligent electronic device excited by the state of primary power system in secondary side, source model of physical fault in cyber devices and parasitic denial of service(DoS)attack, which establishes an integrated spontaneous message model of cyber devices. Then, based on the network calculus and transmission path of junction flow method, the distribution matrix definition and calculus method of smart grid information flow based on the generic message source are put forward, which forms a clear and detailed quantitative analysis and calculation process. Finally, some typical scenarios, such as cyber device failure in process layer, DoS attack and primary circuit faults in small or large operation modes, are validated as theoretical calculation examples, and OPNET simulation results show the effectiveness of the proposed method.
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