智能全景系统概念及其在现代电网中的应用体系
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摘要
伴随着大数据、人工智能等战略新兴信息技术的发展,人类社会逐渐进入到万物互联的智能化时代,信息物理系统和网络强国已成为大国战略竞争的制高点,亟需发展和建立万物互联形态下现实物理系统的智能分析与精准决策理论框架体系。首先,针对某种可观测的现实系统,提出具有通用泛在意义的智能全景系统设想,详细阐述了其基本概念、核心内涵、建设目标等,以期提高现实物理系统的可观性、可控性和可塑性。进而,以现代电网作为典型工业物联网行业应用场景,提出智能全景电网基本概念、宏观功能框架及智能调控大脑内核。在此基础上,以信息驱动的复杂电网时空动力学行为智能认知与协同控制为核心主线,系统性部署了智能全景电网各层面的基础理论体系与关键技术。最后,给出了智能全景电网工程实用化的时空大数据平台架构及建设实施方案,为实现互联大电网的智能分析和精准控制提供有力支撑。同时,为贯彻落实网络强国、数字中国、智慧社会等国家战略贡献价值理念和工程经验。
With the development of strategic emerging information technologies such as big data and artificial intelligence, human society has gradually entered the intelligent age of interconnection of all things. Cyber-physical systems and cyber-powers have become the commanding heights of strategic competition among big countries, so it is urgent to develop and establish the theoretical framework of intelligent analysis and precise decision for real physical systems in the form of interconnection of all things. In order to improve the observability, controllability and plasticity of real physical system, an assumption of intelligent panoramic system with universal significance aiming at some observable realistic system was firstly put forward, and its basic concept, core connotation, construction goal and so on were described in detail. Furthermore, the basic concept, macro-functional framework and intelligent control brain core of smart panoramic grid were proposed with modern power grid as the typical application scene of Internet of things(IoT). On this basis, the theoretical system and key technologies of smart panoramic grid were systematically deployed based on the information driven intelligent cognition and cooperative control of space-time dynamics of complex power grid. Finally, the practical construction and implementation scheme of big data platform for smart panoramic grid engineering were presented, which can provide powerful support for intelligent analysis and accurate control of interconnected grid. At the same time, to provide value concept and engineering experience for implementing the cyber-power, digital China, intelligent society and other national strategy.
With the development of strategic emerging information technologies such as big data and artificial intelligence, human society has gradually entered the intelligent age of interconnection of all things. Cyber-physical systems and cyber-powers have become the commanding heights of strategic competition among big countries, so it is urgent to develop and establish the theoretical framework of intelligent analysis and precise decision for real physical systems in the form of interconnection of all things. In order to improve the observability, controllability and plasticity of real physical system, an assumption of intelligent panoramic system with universal significance aiming at some observable realistic system was firstly put forward, and its basic concept, core connotation, construction goal and so on were described in detail. Furthermore, the basic concept, macro-functional framework and intelligent control brain core of smart panoramic grid were proposed with modern power grid as the typical application scene of Internet of things(IoT). On this basis, the theoretical system and key technologies of smart panoramic grid were systematically deployed based on the information driven intelligent cognition and cooperative control of space-time dynamics of complex power grid. Finally, the practical construction and implementation scheme of big data platform for smart panoramic grid engineering were presented, which can provide powerful support for intelligent analysis and accurate control of interconnected grid. At the same time, to provide value concept and engineering experience for implementing the cyber-power, digital China, intelligent society and other national strategy.
引文
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[22]楚天广,杨正东,邓魁英,等.群体动力学与协调控制研究中的若干问题[J].控制理论与应用,2010,27(1):86-93.Chu Tianguang,Yang Zhengdong,Deng Kuiying,et al.Problems in swarm dynamics and coordinated control[J].Control Theory&Applications,2010,27(1):86-93(in Chinese).
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[26]陈升,孟漫.智库影响力及其影响机理研究--基于39个中国智库样本的实证研究[J].科学研究,2015,33(9):1305-1312.Chen Sheng,Meng Man.Study on the mechanism of the impacts and think tanks influence:Based on the empirical research on 39 samples of Chinese think tanks[J].Studies in Science of Science,2015,33(9):1305-1312(in Chinese).
[27]周璐璐,邓江洪.一种机器人智能语音识别算法研究[J].计算机测量与控制,2014,22(10):3267-3269,3273.Zhou Lulu,Deng Jianghong.A voice recognition algorithm for intelligent robot[J].Computer Measurement&Control,2014,22(10):3267-3269,3273(in Chinese).
[28]韩笑,狄方春,刘广一,等.应用智能电网统一数据模型的大数据应用架构及其实践[J].电网技术,2016,40(10):3206-3212.Han Xiao,Di Fangchun,Liu Guangyi,et al.A big data application structure based on smart grid data model and its practice[J].Power System Technology,2016,40(10):3206-3212(in Chinese).
[29]Wu Xindong,Zhu Xingquan,Wu Gongqing,et al.Data mining with big data[J].IEEE Transactions on Knowledge and Data Engineering,2014,26(1):97-107.
[30]Tolle K M,Tansley D S W,Hey A J G.The fourth paradigm:data-intensive scientific discovery[Point of View][J].Proceedings of the IEEE,2011,99(8):1334-1337.
[31]马平川,沈沉,陈颖,等.基于伪量测型协调变量的分布式状态估计算法[J].中国电机工程学报,2014,34(19):3170-3177.Ma Pingchuan,Shen Chen,Chen Ying,et al.Distributed state estimation based on the pseudo-measurement coordination variables[J].Proceedings of the CSEE,2014,34(19):3170-3177(in Chinese).
[2]He Haibo,Yan Jun.Cyber-physical attacks and defences in the smart grid:a survey[J].IET Cyber-Physical Systems:Theory&Applications,2016,1(1):13-27.
[3]Wei Yongsong,Li Shaoyuan.Water supply networks as cyber-physical systems and controllability analysis[J].IEEE/CAA Journal of Automatica Sinica,2015,2(3):313-319.
[4]Rosen R,Von Wichert G,Lo G,et al.About the importance of autonomy and digital twins for the future of manufacturing[J].IFAC-PaperOnLine,2015,48(3):567-572.
[5]王飞跃.平行系统方法与复杂系统的管理和控制[J].控制与决策,2004,19(5):485-489,514.Wang Feiyue.Parallel System methods for management and control of complex systems[J].Control and Decision,2004,19(5):485-489,514(in Chinese).
[6]Wang Feiyue.Toward a revolution in transportation operations:AI for complex systems[J].IEEE Intelligent Systems,2008,23(6):8-13.
[7]Wang Feiyue.Back to the future:surrogates,mirror worlds,and parallel universes[J].IEEE Intelligent Systems,2011,26(1):2-4.
[8]黄群慧,贺俊.中国制造业的核心能力、功能定位与发展战略--兼评《中国制造2025》[J].中国工业经济,2015(6):5-17.Huang Qunhui,He Jun.The core capability function and strategy of Chinese manufacturing industry--Comment on“Chinese Manufacturing 2025”[J].China Industrial Economics,2015(6):5-17(in Chinese).
[9]姜萍萍,秦华.总体布局统筹各方创新发展努力把我国建设成为网络强国[N].人民日报,2014-02-28(01).Jiang Pingping,Qin Hua.Overall layout,overall planning,innovation and development of all parties to build China into a cyberpower[N].People’s Daily,2014-02-28(01)(in Chinese).
[10]刘振亚.全球能源互联网[M].北京:中国电力出版社,2015.Liu Zhenya.Global energy internet[M].Beijing:China Electric Power Press,2015(in Chinese).
[11]Zhang Dongxia,Qiu R C.Research on big data applications in Global Energy Interconnection[J].Global Energy Interconnection,2018,1(3):352-357.
[12]李柏青,刘道伟,秦晓辉,等.信息驱动的大电网全景安全防御概念及理论框架[J].中国电机工程学报,2016,36(21):5796-5805.Li Baiqing,Liu Daowei,Qin Xiaohui,et al.Concept and theory framework of panoramic security defense for bulk power system driven by information[J].Proceedings of the CSEE,2016,36(21):5796-5805(in Chinese).
[13]刘道伟,张东霞,孙华东,等.时空大数据环境下的大电网稳定态势量化评估与自适应防控体系构建[J].中国电机工程学报,2015,35(2):268-276.Liu Daowei,Zhang Dongxia,Sun Huadong,et al.Construction of stability situation quantitative assessment and adaptive control system for large-scale power grid in the spatio-temporal big data environment[J].Proceedings of the CSEE,2015,35(2):268-276(in Chinese).
[14]王继业,刘道伟,马世英,等.信息驱动的全球能源互联网全景安全防御系统[J].电力信息与通信技术,2016,14(3):13-19.Wang Jiye,Liu Daowei,Ma Shiying,et al.An information-driven panoramic security defense system for global energy interconnection[J].Electric Power Information and Communication Technology,2016,14(3):13-19(in Chinese).
[15]蔡宇,赵国锋,郭航.实时流处理系统Storm的调度优化综述[J].计算机应用研究,2018,35(9):2567-2573.Cai Yu,Zhao Guofeng,Guo Hang.Survey of real-time processing system storm scheduling optimization[J].Application Research of Computers,2018,35(9):2567-2573(in Chinese).
[16]汪小帆,李翔,陈关荣.复杂网络理论及其应用[M].北京:清华大学出版社,2006.
[17]李从善,刘天琪,李兴源,等.用于电力系统状态估计的WAMS/SCADA混合量测数据融合方法[J].高电压技术,2013,39(11):2686-2691.Li Congshan,Liu Tianqi,Li Xingyuan,et al.Data fusion method of WAMS/SCADA hybrid measurements in power system state estimation[J].High Voltage Engineering,2013,39(11):2686-2691(in Chinese).
[18]刘福国,王学同,苏相河,等.基于系统测量冗余的电厂异常运行数据检测与校正[J].中国电机工程学报,2003,23(7):204-207.Liu Fuguo,Wang Xuetong,Su Xianghe,et al.Detection and reconciliation on the abnormal operation data based on redundancy measurement in a power plant[J].Proceedings of the CSEE,2003,23(7):204-207(in Chinese).
[19]赵俊华,文福拴,薛禹胜,等.电力信息物理融合系统的建模分析与控制研究框架[J].电力系统自动化,2011,35(16):1-8.Zhao Junhua,Wen Fushuan,Xue Yusheng,et a1.Modeling analysis and control research framework of cyber physical power systems[J].Automation of Electric Power Systems,2011,35(16):1-8(in Chinese).
[20]刘辉,闵勇,张毅威,等.电力系统暂态稳定域近似边界可信域及其扩展[J].中国电机工程学报,2008,28(31):9-14.Liu Hui,Min Yong,Zhang Yiwei,et al.Credible region and its extension for approximate boundaries of transient stability region in power system[J].Proceedings of the CSEE,2008,28(31):9-14(in Chinese).
[21]刘道伟,韩学山,王勇,等.在线电力系统静态稳定域的研究及其应用[J].中国电机工程学报,2009,29(34):42-49.Liu Daowei,Han Xueshan,Wang Yong,et al.Studies on the on-line static stability region in power systems and its application[J].Proceedings of the CSEE,2009,29(34):42-49(in Chinese).
[22]楚天广,杨正东,邓魁英,等.群体动力学与协调控制研究中的若干问题[J].控制理论与应用,2010,27(1):86-93.Chu Tianguang,Yang Zhengdong,Deng Kuiying,et al.Problems in swarm dynamics and coordinated control[J].Control Theory&Applications,2010,27(1):86-93(in Chinese).
[23]Hiskens I A,Pai M A.Trajectory sensitivity analysis of hybrid systems[J].IEEE Transactions on Circuits and Systems I:Fundamental Theory and Applications,2000,47(2):204-220.
[24]马浩淼,高勇,杨媛,等.双馈风力发电低电压穿越撬棒阻值模糊优化[J].中国电机工程学报,2012,32(34):17-23.Ma Haomiao,Gao Yong,Yang Yuan,et al.Fuzzy optimization of crowbar resistances for low-voltage ride through of doubly-fed induction generators[J].Proceedings of the CSEE,2012,32(34):17-23(in Chinese).
[25]程乐峰,余涛,张孝顺,等.信息-物理-社会融合的智慧能源调度机器人及其知识自动化:框架、技术与挑战[J].中国电机工程学报,2018,38(1):25-40.Cheng Lefeng,Yu Tao,Zhang Xiaoshun,et al.Cyberphysical-social systems based smart energy robotic dispatcher and its knowledge automation:framework,techniques and challenges[J].Proceedings of the CSEE,2018,38(1):25-40(in Chinese).
[26]陈升,孟漫.智库影响力及其影响机理研究--基于39个中国智库样本的实证研究[J].科学研究,2015,33(9):1305-1312.Chen Sheng,Meng Man.Study on the mechanism of the impacts and think tanks influence:Based on the empirical research on 39 samples of Chinese think tanks[J].Studies in Science of Science,2015,33(9):1305-1312(in Chinese).
[27]周璐璐,邓江洪.一种机器人智能语音识别算法研究[J].计算机测量与控制,2014,22(10):3267-3269,3273.Zhou Lulu,Deng Jianghong.A voice recognition algorithm for intelligent robot[J].Computer Measurement&Control,2014,22(10):3267-3269,3273(in Chinese).
[28]韩笑,狄方春,刘广一,等.应用智能电网统一数据模型的大数据应用架构及其实践[J].电网技术,2016,40(10):3206-3212.Han Xiao,Di Fangchun,Liu Guangyi,et al.A big data application structure based on smart grid data model and its practice[J].Power System Technology,2016,40(10):3206-3212(in Chinese).
[29]Wu Xindong,Zhu Xingquan,Wu Gongqing,et al.Data mining with big data[J].IEEE Transactions on Knowledge and Data Engineering,2014,26(1):97-107.
[30]Tolle K M,Tansley D S W,Hey A J G.The fourth paradigm:data-intensive scientific discovery[Point of View][J].Proceedings of the IEEE,2011,99(8):1334-1337.
[31]马平川,沈沉,陈颖,等.基于伪量测型协调变量的分布式状态估计算法[J].中国电机工程学报,2014,34(19):3170-3177.Ma Pingchuan,Shen Chen,Chen Ying,et al.Distributed state estimation based on the pseudo-measurement coordination variables[J].Proceedings of the CSEE,2014,34(19):3170-3177(in Chinese).