面向泛在电力物联网的5G通信:技术原理与典型应用
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摘要
在坚强智能电网的深化建设与泛在电力物联网的快速发展中,第5代移动通信技术(5thgenerationmobile networks,5G通信)因具有"高带宽、高容量、高可靠性、低延时、低功耗"的特点,将成为引领和支撑电力系统技术创新、实现万物互联的关键技术。电力系统本身的特点以及其对通信的要求决定5G通信技术在某些特定领域能够发挥关键作用。该文介绍5G通信的基本技术原理及其特征、关键性能指标,分析5G在未来电力系统通信中的应用定位,深入探讨其在电力系统中面向高带宽、高容量、低时延3大需求的潜在应用场景;最后分析了其在物理、信息和用户层面对电力系统的影响与挑战。
With the deepening construction of a strong smart grid and the rapid development of the ubiquitous Internet of Things in electricity, the fifth generation(5 G) mobile networks will become the key technology to lead and support the technological innovation of power system and realize the interconnection of everything, because of its characteristics of"high bandwidth, high capacity, high reliability, low delay and low power consumption". The characteristics of power system and its communication requirements determine that 5 G communication technology can play a key role in several specific scenarios only. This paper firstly introduced the basic technical principles, characteristics and key performance indicators of 5 G communication. Then the role of 5 G in future power system was analyzed. Potential application scenarios of5 G communication in power system were further prospected for high bandwidth, high capacity and low latency,respectively. Finally, its influence on power system in terms of physical system, information system and consumers are analyzed.
With the deepening construction of a strong smart grid and the rapid development of the ubiquitous Internet of Things in electricity, the fifth generation(5 G) mobile networks will become the key technology to lead and support the technological innovation of power system and realize the interconnection of everything, because of its characteristics of"high bandwidth, high capacity, high reliability, low delay and low power consumption". The characteristics of power system and its communication requirements determine that 5 G communication technology can play a key role in several specific scenarios only. This paper firstly introduced the basic technical principles, characteristics and key performance indicators of 5 G communication. Then the role of 5 G in future power system was analyzed. Potential application scenarios of5 G communication in power system were further prospected for high bandwidth, high capacity and low latency,respectively. Finally, its influence on power system in terms of physical system, information system and consumers are analyzed.
引文
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[27]Liu Yuxiao,Zhang Ning,Wang Yi,et al.Data-driven power flow linearization:a regression approach[J].IEEETransactions on Smart Grid,2019,10(3):2569-2580.
[28]杨鑫,钱君霞,徐春雷,等.大规模源网荷友好互动系统网络建设方案研究[J].浙江电力,2018,37(10):25-30.Yang Xin,Qian Junxia,Xu Chunlei,et al.Research on network construction scheme for large-scale sourcegrid-load friendly interaction system[J].Zhejiang Electric Power,2018,37(10):25-30(in Chinese).
[29]华为技术有限公司.5G时代十大应用场景白皮书[EB/OL].2017.https://www.huawei.com/cn/industryinsights/outlook/mobile-broadband/insights-reports/5g-unl ocks-a-world-of-opportunities.Huawei Technology Co.,Ltd.White Paper on Ten Application Scenarios in the 5G Era[EB/OL].2017.https://www.huawei.com/cn/industry-insights/outlook/mo bile-broadband/insights-reports/5g-unlocks-a-world-of-op portunities(in Chinese).
[30]李彬,曹望璋,马永红,等.计及倒换时延的需求响应业务P圈保护策略[J].中国电机工程学报,2019,39(10):2895-2903.Li Bin,Cao Wangzhang,Ma Yonghong,et al.A P-cycle protection strategy of demand response service considering the protection switching latency[J].Proceedings of the CSEE,2019,39(10):2895-2903(in Chinese).
[31]Choi Y,Kim H.Optimal scheduling of energy storage system for self-sustainable base station operation considering battery wear-out cost[J].Energies,2016,9(6):462.
[2]张勇军,刘斯亮,江金群,等.低压智能配电网技术研究综述[J].广东电力,2019(1):1-12.Zhang Yongjun,Liu Siliang,Jiang Jinqun,et al.Research review on low-voltage intelligent distribution network technology[J].Guangdong Electric Power,2019(1):1-12(in Chinese).
[3]信息通信行业发展规划(2016-2020年)[J].中国电信业,2017(2):50-63.Information and communication industry development plan(2016-2020)[J].China Telecommunication Trade,2017(2):50-63(in Chinese).
[4]王毅,陈启鑫,张宁,等.5G通信与泛在电力物联网的融合:应用分析与研究展望[J].电网技术,2019,43(5):1575-1585.Wang Yi,Chen Qixin,Zhang Ning,et al.Fusion of the5G communication and the ubiquitous electric internet of things:application analysis and research prospects[J].Power System Technology,2019,43(5):1575-1585(in Chinese).
[5]Morgado A,Huq K M S,Mumtaz S,et al.A survey of5G technologies:Regulatory,standardization and industrial perspectives[J].Digital Communications and Networks,2018,4(2):87-97.
[6]Shafi M,Molisch A F,Smith P J,et al.5G:a tutorial overview of standards,trials,challenges,deployment,and practice[J].IEEE Journal on Selected Areas in Communications,2017,35(6):1201-1221.
[7]IUT.ITU-R M.2083 IMT Vision-Framework and overall objectives of the future development of IMT for 2020 and beyond[S].Geneva:ITU-R,2015.
[8]Baltrunas D,Elmokashfi A,Kvalbein A.Measuring the reliability of mobile broadband networks[C]//Proceedings of the 2014 Conference on Internet Measurement Conference.Vancouver,BC,Canada:ACM,2014:45-58.
[9]Andrews J G,Buzzi S,Choi W,et al.What will 5G be?[J].IEEE Journal on Selected Areas in Communications,2014,32(6):1065-1082.
[10]Parvez I,Rahmati A,Guvenc I,et al.A survey on low latency towards 5G:RAN,core network and caching solutions[J].IEEE Communications Surveys&Tutorials,2018,20(4):3098-3130.
[11]Agiwal M,Roy A,Saxena N.Next generation 5G wireless networks:a comprehensive survey[J].IEEECommunications Surveys&Tutorials,2016,18(3):1617-1655.
[12]Shannon C E.A mathematical theory of communication[J].Bell System Technical Journal,1948,27(3):379-423.
[13]郑琪.基于大规模天线阵列的3D波束赋形技术的研究[D].北京:北京邮电大学,2018.Zheng Qi.Research on 3D beamforming technology based on massive MIMO networks[D].Beijing:Beijing University of Posts and Telecommunications,2018(in Chinese).
[14]陈皓勇,陈永波,王晓娟,等.基于LPWAN的泛在电力物联网[J].电力系统保护与控制,2019,47(8):1-8.Chen Haoyong,Chen Yongbo,Wang Xiaojuan,et al.Ubiquitous power internet of things based on LPWAN[J].Power System Protection and Control,2019,47(8):1-8(in Chinese).
[15]Borkar S,Pande H.Application of 5G next generation network to Internet of Things[C]//2016 International Conference on Internet of Things and Applications(IOTA).IEEE,2016:443-447.
[16]刘趁.电力通信网管理数据分区传输方案的设计与实现[D].北京:北京邮电大学,2015.Liu Chen.Design and implementation of management data partition transmission scheme of power telecommunicatin network[D].Beijing:Beijing University of Posts and Telecommunications,2015(in Chinese).
[17]李叶,张琳,杨凯,等.电力无线通信专网的研究与应用[J].通讯世界,2019,26(2):128-129.Li Ye,Zhang Lin,Yang Kai,et al.Research and application of power wireless communication network[J].Communication World,2019,26(2):128-129(in Chinese).
[18]王毅,张宁,康重庆,等.电力用户行为模型:基本概念与研究框架[J].电工技术学报,2019,34(10):2056-2068.Wang Yi,Zhang Ning,Kang Chongqing,et al.Electrical consumer behavior model:basic concept and research framework[J].Transactions of China Electrotechnical Society,2019,34(10):2056-2068(in Chinese).
[19]麦俊佳,郭圣,徐振磊,等.输电线路多旋翼无人机自动驾驶智能巡检系统[J].计算机系统应用,2019,28(4):105-110.Mai Junjia,Guo Sheng,Xu Zhenlei,et al.Automatic driving intelligent inspection system of transmission line multi-rotor UAV[J].Computer Systems&Applications,2019,28(4):105-110(in Chinese).
[20]Verschae R,Li Li,Nobuhara S,et al.A sky image analysis system for sub-minute PV prediction[C]//Proceedings of the 2017 IEEE 44th Photovoltaic Specialist Conference.Washington,DC:IEEE,2017:1175-1180.
[21]Jang H S,Bae K Y,Park H S,et al.Solar power prediction based on satellite images and support vector machine[J].IEEE Transactions on Sustainable Energy,2016,7(3):1255-1263.
[22]Zhang Jinsong,Verschae R,Nobuhara S,et al.Deep photovoltaic nowcasting[J].Solar Energy,2018,176:267-276.
[23]Zhou Yuxun,Arghandeh R,Konstantakopoulos I,et al.Abnormal event detection with high resolution micro-PMU data[C]//Proceedings of 2016 Power Systems Computation Conference.Genoa,Italy:IEEE,2016:1-7.
[24]Gadde P H,Biswal M,Brahma S,et al.Efficient compression of PMU data in WAMS[J].IEEETransactions on Smart Grid,2016,7(5):2406-2413.
[25]Klump R,Agarwal P,Tate J E,et al.Lossless compression of synchronized phasor measurements[C]//Proceedings of IEEE PES General Meeting.Providence:IEEE,2010:1-7.
[26]Weng Yang,Liao Yizheng,Rajagopal R.Distributed energy resources topology identification via graphical modeling[J].IEEE Transactions on Power Systems,2017,32(4):2682-2694.
[27]Liu Yuxiao,Zhang Ning,Wang Yi,et al.Data-driven power flow linearization:a regression approach[J].IEEETransactions on Smart Grid,2019,10(3):2569-2580.
[28]杨鑫,钱君霞,徐春雷,等.大规模源网荷友好互动系统网络建设方案研究[J].浙江电力,2018,37(10):25-30.Yang Xin,Qian Junxia,Xu Chunlei,et al.Research on network construction scheme for large-scale sourcegrid-load friendly interaction system[J].Zhejiang Electric Power,2018,37(10):25-30(in Chinese).
[29]华为技术有限公司.5G时代十大应用场景白皮书[EB/OL].2017.https://www.huawei.com/cn/industryinsights/outlook/mobile-broadband/insights-reports/5g-unl ocks-a-world-of-opportunities.Huawei Technology Co.,Ltd.White Paper on Ten Application Scenarios in the 5G Era[EB/OL].2017.https://www.huawei.com/cn/industry-insights/outlook/mo bile-broadband/insights-reports/5g-unlocks-a-world-of-op portunities(in Chinese).
[30]李彬,曹望璋,马永红,等.计及倒换时延的需求响应业务P圈保护策略[J].中国电机工程学报,2019,39(10):2895-2903.Li Bin,Cao Wangzhang,Ma Yonghong,et al.A P-cycle protection strategy of demand response service considering the protection switching latency[J].Proceedings of the CSEE,2019,39(10):2895-2903(in Chinese).
[31]Choi Y,Kim H.Optimal scheduling of energy storage system for self-sustainable base station operation considering battery wear-out cost[J].Energies,2016,9(6):462.
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