基于关联特性矩阵的电网信息物理系统耦合建模方法
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摘要
电网信息物理系统(电网CPS)中信息层和物理层的紧密耦合,使得信息或物理的失效都会对电网CPS的正常运行造成影响。文中提出了一种基于关联特性矩阵的电网CPS建模方法,对电力系统控制应用中信息流与能量流的复杂耦合关系和交互机理进行梳理与建模。该方法首先对实际电网CPS逻辑进行梳理与抽象,得到电网CPS基本分析单元;然后,采用多元组定量描述信息节点、二次设备节点和通信节点的外特性,采用关联特性矩阵的方法定量描述电网CPS中物理层、二次设备层、通信层、信息层内部及其相互之间的逻辑关联关系及特性,形成完整的电网CPS耦合模型。最后,基于电网CPS模型对实际电网CPS应用系统进行分析,说明模型的使用方法,验证模型的合理性和有效性。
Since the information layer and the physical layer in the cyber physical power system(CPPS)are closely coupled,the failure of cyber or physical system will seriously affect the normal operation of power system.This paper proposes a correlation characteristic matrix based modeling method for the coupling system to comb and quantify the complex interaction mechanism of information flow and energy flow in the control applications of power system.In this method,the basic analysis unit of CPPS is abstracted from the actual power system applications.Then,the external characteristics of the information nodes,secondary device nodes and communication nodes are described by the expandable multivariate sets.Moreover,the logical association relation and characteristics of physical layer,secondary device layer,communication layer,and information layer are quantitatively described by the correlation characteristic matrix method.Therefore,a complete CPPS model is formed.Finally,an actual power system based on the proposed CPPS model is analyzed,and the usage of the model is illustrated.The results have verified the rationality and effectiveness of the proposed model.
Since the information layer and the physical layer in the cyber physical power system(CPPS)are closely coupled,the failure of cyber or physical system will seriously affect the normal operation of power system.This paper proposes a correlation characteristic matrix based modeling method for the coupling system to comb and quantify the complex interaction mechanism of information flow and energy flow in the control applications of power system.In this method,the basic analysis unit of CPPS is abstracted from the actual power system applications.Then,the external characteristics of the information nodes,secondary device nodes and communication nodes are described by the expandable multivariate sets.Moreover,the logical association relation and characteristics of physical layer,secondary device layer,communication layer,and information layer are quantitatively described by the correlation characteristic matrix method.Therefore,a complete CPPS model is formed.Finally,an actual power system based on the proposed CPPS model is analyzed,and the usage of the model is illustrated.The results have verified the rationality and effectiveness of the proposed model.
引文
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[3]郭庆来,辛蜀骏,孙宏斌,等.电力系统信息物理融合建模与综合安全评估:驱动力与研究构想[J].中国电机工程学报,2016,36(6):1481-1489.GUO Qinglai,XIN Shujun,SUN Hongbin,et al.Power system cyber-physical modelling and security assessment:motivation and ideas[J].Proceedings of the CSEE,2016,36(6):1481-1489.
[4]杨佩,蔡皓,裘洪彬,等.面向能源互联网的大数据关键技术研究[J].电力信息与通信技术,2016,14(4):9-12.YANG Pei,CAI Hao,QIU Hongbin,et al.Research on key technologies of big data for energy interconnection[J].Electric Power Information and Communication Technology,2016,14(4):9-12.
[5]刘东,盛万兴,王云,等.电网信息物理系统的关键技术及其进展[J].中国电机工程学报,2015,35(14):3522-3531.LIU Dong,SHENG Wanxing,WANG Yun,et al.Key technologies and trends of cyber physical system for power grid[J].Proceedings of the CSEE,2015,35(14):3522-3531.
[6]何瑞文,汪东,张延旭,等.智能电网信息流的建模和静态计算方法研究[J].中国电机工程学报,2016,36(6):1527-1535.HE Ruiwen,WANG Dong,ZHANG Yanxu,et al.Modeling and static calculation method of the information flow on smart grid[J].Proceedings of the CSEE,2016,36(6):1527-1535.
[7]ILIC M D,XIE L,KHAN U A,et al.Modeling of future cyber-physical energy systems for distributed sensing and control[J].IEEE Transactions on Systems Man and Cybernetics:Part A Systems and Humans,2010,40(4):825-838.
[8]ILLIC M D,XIE Le,KHAN U A,et al.Modeling future cyber-physical energy systems[C]//IEEE Power&Energy Society General Meeting—Conversion and Delivery of Electrical Energy in the 21st Century,July 20-24,2008,Pittsburgh,USA:9p.
[9]WEI Jin,KUNDUR D,ZOURNTOS T,et al.A flocking-based paradigm for hierarchical cyber-physical smart grid modeling and control[J].IEEE Transactions on Smart Grid,2014,5(6):2687-2700.
[10]OLFATI-SABER R.Flocking for multi-agent dynamic systems:algorithms and theory[J].IEEE Transactions on Automatic Control,2006,51(3):401-420.
[11]王云,刘东,陆一鸣.电网信息物理系统的混合系统建模方法研究[J].中国电机工程学报,2016,36(6):1464-1470.WANG Yun,LIU Dong,LU Yiming.Research on hybrid system modeling method of cyber physical system for power grid[J].Proceedings of the CSEE,2016,36(6):1464-1470.
[12]XIN Shujun,GUO Qinglai,SUN Hongbin,et al.Cyberphysical modeling and cyber-contingency assessment of hierarchical control systems[J].IEEE Transactions on Smart Grid,2015,6(5):2375-2385.
[13]XUE Yusheng,NI Ming,YU Wenjie.Approach for studying the impact of communication failures on power grid[C]//IEEE Power&Energy Society General Meeting,July 17-21,2016,Boston,USA:5p.
[14]YU Wenjie,XUE Y,LUO Jianbo,et al.An UHV grid security and stability defense system:considering the risk of power system communication[J].IEEE Transactions on Smart Grid,2016,7(1):491-500.
[15]王海柱,张延旭,蔡泽祥,等.智能变电站过程层网络信息流潮流模型与计算方法[J].电网技术,2013,37(9):2602-2607.WANG Haizhu,ZHANG Yanxu,CAI Zexiang,et al.Information flow calculation model and method for process bus network in smart substation[J].Power System Technology,2013,37(9):2602-2607.
[16]ZHANG Yanxu,CAI Zexiang,LI Xiaohua,et al.Analytical modeling of traffic flow in the substation communication network[J].IEEE Transactions on Power Delivery,2015,30(5):2119-2127.
[17]中国信息物理系统发展论坛.信息物理系统白皮书(2017)[R].2017.