配电网CPS理论架构和典型场景应用
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摘要
随着计算机、通信、控制(3C)技术的发展与在配电网中的深入应用,配电网信息空间与物理空间实现了深度融合和实时交互,其感知、集成、共享、协同、自治等能力得到了极大提升,形成了配电网信息物理系统(cyber physical system,CPS)。基于信息物理融合的角度,从本质、特征与体系分析配电网CPS的内涵,分析多样化的控制方式与CPS资源部署形式对配电网运行控制特性的影响。依据CPS概念剖析其发展的不同阶段、不同的业务需求与场景类型分析3类典型配电网CPS示范工程应用,从而对配电网CPS的理论模型架构进行测试与验证。
Along with the application of computer science,communication and control(abbreviated as 3C)in distribution power network,information exchange among the physical components of distribution power network is substantially enhanced.Furthermore,its capability of perception,integration,coordination and autonomy is also strengthened.This kind of technology is named cyber physical system(CPS).This paper investigates the mechanism of the CPS of distribution power network from the perspective of cyber physical integration,so as to figure out the impact of diversified control modes and CPS configuration on the operational characteristics of the distribution power network.The theory of CPS is validated by analyzing three representative applications.In the analysis,three aspects,including the historical development,various demands and application situations,are taken into consideration.
Along with the application of computer science,communication and control(abbreviated as 3C)in distribution power network,information exchange among the physical components of distribution power network is substantially enhanced.Furthermore,its capability of perception,integration,coordination and autonomy is also strengthened.This kind of technology is named cyber physical system(CPS).This paper investigates the mechanism of the CPS of distribution power network from the perspective of cyber physical integration,so as to figure out the impact of diversified control modes and CPS configuration on the operational characteristics of the distribution power network.The theory of CPS is validated by analyzing three representative applications.In the analysis,three aspects,including the historical development,various demands and application situations,are taken into consideration.
引文
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[2]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 cyberphysical modelling and security assessment:Motivation and ideas[J].Proceedings of the CSEE,2016,36(6):1481-1489.
[3]YU X,XUE Y.Smart grids:a cyber-physical systems perspective[J].Proceedings of the IEEE,2016,104(5):1058-1070.
[4]陈彬,张功林,黄建业.配电自动化系统实用技术[M].北京:机械工业出版社,2015:5-6.
[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]陈彬,黄建业,张功林,等.配电网信息物理系统的典型特征与联合测试验证[J].电力建设,2017,38(5):46-51.CHEN Bin,HUANG Jianye,ZHANG Gonglin,et al.Typical characteristics and joint test verification of CPS in distribution network[J].Electric Power Construction,2017,38(5):46-51.
[7]薛禹胜,赖业宁.大能源思维与大数据思维的融合(一):大数据与电力大数据[J].电力系统自动化,2016,40(1):1-8.XUE Yusheng,LAI Yening.Integration of macro energy thinking and big data thinking:Part One big data and power big data[J].Automation of Electric Power Systems,2016,40(1):1-8.
[8]KUZLU M,PIPATTANASOMPORN M,RAHMAN S.Communication network requirements for major smart grid applications in HAN,NAN and WAN[J].Computer Networks,2014,67(10):74-88.
[9]王冰玉,孙秋野,马大中,等.能源互联网多时间尺度的信息物理融合模型[J].电力系统自动化,2016,40(17):13-21.WANG Bingyu,SUN Qiuye,MA Dazhong,et al.A cyber physical model of the Energy Internet based on multiple time scales[J].Automation of Electric Power Systems,2016,40(17):13-21.
[10]WANG Q,PIPATTANASOMPORN M,KUZLU M,et al.Framework for vulnerability assessment of communication systems for electric power grids[J].IET Generation Transmission&Distribution,2015,10(2):477-486.