基于全面感知和软件定义的配电物联网体系架构
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摘要
为应对能源互联网发展对配电网的要求,基于"云大物移智"等新一代信息通信技术的配电物联网应运而生,成为能源转型"再电气化"发展的新思路、新模式、新焦点。文章首先论述配电物联网的内涵构想和应用特征,强调其全面感知与软件定义的属性;其次提出由"云、管、边、端"构成的配电物联网体系架构,强化了对"边"、"端"的功能定位与技术创新;然后介绍了未来配电物联网的应用方向,除增强配电网的智能化管控能力外,其也将促成个性化定制、服务化延伸等新型应用模式;最后分析了配电物联网的实施对电力公司、电力用户及社会的重要意义,并根据前期试点成果,提出配电物联网下一步发展的建议。
In response to the demands of the Energy Internet,the new generation information technologies(cloud computing, big data, Internet of Things(Io T), Mobile Internet and artificial intelligence,et al) are integrated with distribution network operation. In this context, Distribution Internet of Things(D-Io T) has emerged as a new idea and mode for the "re-electrification" of energy transformation. This paper provides an architecture description of D-Io T for distribution system operation and its characteristics which emphasize the widespread sensing and software defined technology application. Then the architecture of D-Io T is proposed with four layers: cloud, channel, edge and terminal, where the last two layers are strengthened because of the functionality and technology innovation. As an enabling technology, the D-Io T can meet the requirement for intelligent management and control of distribution network and will also enable new business and operation model such as customized applications and extended services. Finally, the implementation benefits for power company, users and society are summarized and future development trends are discussed according to pilot implementations.
In response to the demands of the Energy Internet,the new generation information technologies(cloud computing, big data, Internet of Things(Io T), Mobile Internet and artificial intelligence,et al) are integrated with distribution network operation. In this context, Distribution Internet of Things(D-Io T) has emerged as a new idea and mode for the "re-electrification" of energy transformation. This paper provides an architecture description of D-Io T for distribution system operation and its characteristics which emphasize the widespread sensing and software defined technology application. Then the architecture of D-Io T is proposed with four layers: cloud, channel, edge and terminal, where the last two layers are strengthened because of the functionality and technology innovation. As an enabling technology, the D-Io T can meet the requirement for intelligent management and control of distribution network and will also enable new business and operation model such as customized applications and extended services. Finally, the implementation benefits for power company, users and society are summarized and future development trends are discussed according to pilot implementations.
引文
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[2]Primadianto A,Lu C N.A review on distribution system state estimation[J].IEEE Transactions on Power Systems,2017,32(5):3875-3883.
[3]余贻鑫,栾文鹏.智能电网述评[J].中国电机工程学报,2009,29(34):1-8.Yu Yixin,Luan Wenpeng.Smart grid and its implementations[J].Proceedings of the CSEE,2009,29(34):1-8(in Chinese).
[4]刘健,刘超,张小庆,等.配电网多级继电保护配合的关键技术研究[J].电力系统保护与控制,2015,43(9):35-41.Liu Jian,Liu chao,Zhang Xiaoqing,et al.Coordination of relay protection for power distribution systems[J].Power System Protection and Control,2015,43(9):35-41(in Chinese).
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[6]国家电网公司科技部.配电自动化现状分析及技术发展研究[R].北京:国家电网公司,2009.
[7]余贻鑫,刘艳丽.智能电网的挑战性问题[J].电力系统自动化,2015,39(2):1-5.Yu Yixin,Liu Yanli.Challenging issues of smart grid[J].Automation of Electric Power Systems,2015,39(2):1-5(in Chinese).
[8]刘东.我国配电自动化的发展历程与技术进展[J].供用电,2014(5):22-25.Liu Dong.Development history and technology progress of distribution automation[J].Distribution&Utilization,2014(5):22-25(in Chinese).
[9]冷超,徐良,唐大勇,等.新生产管理系统(PMS)在静安变电站的应用[J].华东电力,2010,38(4):561-563.Leng Chao,Xu Liang,Tang Dayong,et al.Application of new production management system(PMS)in Jing’an substation[J].East China Electric Power,2010,38(4):561-563(in Chinese).
[10]张献方.打造高效协同的现代供电服务新机制[N].国家电网报,2018-08-10(01).
[11]栾文鹏,王冠,徐大青.支持多种服务和业务融合的高级量测体系架构[J].中国电机工程学报,2014,34(29):5088-5095.Luan Wenpeng,Wang Guan,Xu Daqing.Advanced metering infrastructure solution supporting multiple services and business integration[J].Proceedings of the CSEE,2014,34(29):5088-5095(in Chinese).
[12]钱俊,刘敏.分布式发电技术研究综述[J].现代电子技术,2013,36(13):167-170.Qian Jun,Liu Min.Overview of research progress on distributed generation technology[J].Modern Electronics Technique,2013,36(13):167-170(in Chinese).
[13]刘杨华,吴政球,涂有庆,等.分布式发电及其并网技术综述[J].电网技术,2008,32(15):71-76.Liu Yanghua,Wu Zhengqiu,Tu Youqing,et al.A survey on distributed generation and its networking technology[J].Power System Technology,2008,32(15):71-76(in Chinese).
[14]史常凯,张波,盛万兴,等.配电网运维管控平台功能架构探讨[J].电网技术,2016,40(7):2206-2211.Shi Changkai,Zhang Bo,Sheng Wanxing,et al.Discussion on functional architecture for distribution network operation and maintenance management platform[J].Power System Technology,2016,40(7):2206-2211(in Chinese).
[15]林佳颖,栾文鹏,余贻鑫,等.AMI量测用于配电网在线状态估计的可信度建模及分析[J].电网技术,2018,42(4):1191-1200.Lin Jiaying,Luan Wenpemg,Yu Yixin,et al.Credibility modelling and analysis of AMI measurements for on-line distribution state estimation[J].Power System Technology,2018,42(4):1191-1200(in Chinese).
[16]叶琳浩,刘泽槐,张勇军,等.智能用电技术背景下的配电网运行规划研究综述[J].电力自动化设备,2018,38(5):154-163.Ye Linhao,Liu Zehuai,Zhang Yongjun,et al.Review on operation and planning of distribution network in background of smart power utilization technology[J].Electric Power Automation Equipment,2018,38(5):154-163(in Chinese).
[17]彭文昊,陆俊,冯勇军,等.计及用户参与不确定性的需求响应策略优化方法[J].电网技术,2018,42(5):1588-1594.Peng Wenhao,Lu Jun,Feng Yong,et al.A demand response strategy optimization considering user participation uncertainty[J].Power System Technology,2018,42(5):1588-1594(in Chinese).
[18]邵尹池,穆云飞,余晓丹,等.“车–路–网”模式下电动汽车充电负荷时空预测及其对配电网潮流的影响[J].中国电机工程学报,2017,37(18):5207-5219+5519.Shao Yinchi,Mu Yunfei,Yu Xiaodan,et al.A spatial-temporal charging load forecast and impact analysis method for distribution network using EVs-Traffic-Distribution model[J].Proceedings of the CSEE,2017,37(18):5207-5219+5519(in Chinese).
[19]Jizhong Zhu,Pingping Xie,Peizheng Xuan,et al.Renewable energy consumption technology under energy internet environment[C]//2017 IEEE Conference on Energy Internet and Energy System Integration(EI2).Beijing,China:IEEE,2017.
[20]国家电网公司.国家电网公司“十三五”通信网规划[R].北京:国家电网公司,2016.
[21]王成山.智能配电系统的发展与挑战[J].供用电,2015(2):43-44.Wang Chengshan.Development and challenge of smart distribution grid[J].Distribution&Utilization,2015(2):43-44(in Chinese).
[22]吴志,王旭阳.关于“十三五”配电网规划实施的思考[J].中国电力,2017,50(1):25-29.Wu Zhi,Wang Xuyang.Reflections on Implementation of the 13th Five-Year distribution network planning[J].Electric Power,2017,50(1):25-29(in Chinese).
[23]舒印彪.以习近平新时代中国特色社会主义思想为指导为建设世界一流能源互联网企业不懈奋斗[R].北京:国家电网公司,2018.
[24]马钊,周孝信,尚宇炜,等.能源互联网概念、关键技术及发展模式探索[J].电网技术,2015,39(11):3014-3022.Ma Zhao,Zhou Xiaoxin,Shang Yuwei,et al.Exploring the concept,key technologies and development model of Energy Internet[J].Power System Technology,2015,39(11):3014-3022(in Chinese).
[25]丁涛,牟晨璐,别朝红,等.能源互联网及其优化运行研究现状综述[J].中国电机工程学报,2018,38(15):4318-4328.Ding Tao,Mou Chenlu,Bie Chaohong,et al.Review of Energy Internet and its operation[J].Proceedings of the CSEE,2018,38(15):4318-4328(in Chinese).
[26]欧阳邵杰,曾博,邱泽晶,等.面向用户差异化需求的智能配电网综合资源优化规划和配置方法[J].电力建设,2017,38(2):38-44.Ouyang Shaojie,Zeng Bo,Qiu Zejing,et al.Integrated resource optimizing planning and allocation method of intelligent distribution network for differentiated demands of users[J].Electric Power Construction,2017,38(2):38-44(in Chinese).
[27]舒印彪.开启建设具有卓越竞争力的世界一流能源互联网企业新征程[N].亮报,2018-1-29(1).
[28]Shivkumar Kalyanaraman.Back to the future:lessons for Internet of Energy Networks[J].IEEE Journals&Magazines,2016,20(1):60-65.
[29]国务院.关于积极推进“互联网+”行动的指导意见[R].北京:国务院,2015.
[30]刘振亚.全球能源互联网跨国跨洲互联研究及展望[J].中国电机工程学报,2016,36(19):5103-5110.Liu Zhenya.Research of global clean energy resource and power grid interconnection[J].Proceedings of the CSEE,2016,36(19):5103-5110(in Chinese).
[31]信息通信行业发展规划物联网分册(2016-2020年)[R].北京:工业和信息化部,2017.
[32]张治林.“大云物移”,让服务更高效[N].国家电网报,2016-08-30(7).
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