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运行于区块链上的智能分布式电力能源系统:需求、概念、方法以及展望

张俊 高文忠 张应晨 郑心湖 杨柳青 郝君 戴潇潇

张俊, 高文忠, 张应晨, 郑心湖, 杨柳青, 郝君, 戴潇潇. 运行于区块链上的智能分布式电力能源系统:需求、概念、方法以及展望. 自动化学报, 2017, 43(9): 1544-1554. doi: 10.16383/j.aas.2017.c160744
引用本文: 张俊, 高文忠, 张应晨, 郑心湖, 杨柳青, 郝君, 戴潇潇. 运行于区块链上的智能分布式电力能源系统:需求、概念、方法以及展望. 自动化学报, 2017, 43(9): 1544-1554. doi: 10.16383/j.aas.2017.c160744
ZHANG Jun, GAO Wen-Zhong, ZHANG Ying-Chen, ZHENG Xin-Hu, YANG Liu-Qing, HAO Jun, DAI Xiao-Xiao. Blockchain Based Intelligent Distributed Electrical Energy Systems:Needs, Concepts, Approaches and Vision. ACTA AUTOMATICA SINICA, 2017, 43(9): 1544-1554. doi: 10.16383/j.aas.2017.c160744
Citation: ZHANG Jun, GAO Wen-Zhong, ZHANG Ying-Chen, ZHENG Xin-Hu, YANG Liu-Qing, HAO Jun, DAI Xiao-Xiao. Blockchain Based Intelligent Distributed Electrical Energy Systems:Needs, Concepts, Approaches and Vision. ACTA AUTOMATICA SINICA, 2017, 43(9): 1544-1554. doi: 10.16383/j.aas.2017.c160744

运行于区块链上的智能分布式电力能源系统:需求、概念、方法以及展望

doi: 10.16383/j.aas.2017.c160744
详细信息
    作者简介:

    高文忠    美国科罗拉多丹佛大学电气与计算机工程系副教授. 1999年和2002年获得美国佐治亚理工大学电气与计算机工程学院电力工程硕士和博士学位.主要研究方向为可再生能源和分布式发电, 微电网, 智能电网, 电力系统保护, 电力系统中电力电子的应用, 电力系统建模与仿真, 混合电动推进系统.同时, 他还是IEEE Transactions on Sustainable Energy杂志的编辑, 也是IEEE Emerging and Selected Topics in Power Electronics杂志的副主编.他是2016年第四十八届北美电力研讨会(48th North American Power Symposium)和2012年IEEE电力电子与风机研讨会(IEEE Symposium on Power Electronics and Machines in Wind Applications)的主席.E-mail: wenzhong.gao@du.edu

    张应晨    美国国立可再生能源实验室高级工程师, 美国丹佛大学客座研究副教授.2003获得天津大学授予的学士学位, 2010年获得弗吉尼亚理工学院暨州立大学授予的博士学位.主要研究方向为未来电网的先进能源管理系统, 大规模可再生能源整合对电力系统运行的影响, 对具有高可再生能源渗透率系统的稳定性监测和分析, 以及同步相量测量技术在可再生能源接入中的应用.他是多项美国国家能源部和国立可再生能源实验室资助的新能源相关课题的课题组组长.他有10年以上在电力系统运行和规划, 可再生一体化, 传感和监测领域的工作经验.他共同撰写出版了50多篇同行评审的出版物, 并持有一项美国专利. E-mail:Yingchen.Zhang@nrel.gov

    郑心湖    美国科罗拉多州科林斯堡科罗拉多州立大学大学计算机科学与工程学院博士研究生. 2011年获得浙江大学控制科学与工程学院本科学位.主要研究方向包括社会计算, 机器学习, 数据分析.E-mail:zheng473@umn.edu

    杨柳青     2004年获得美国明尼苏达大学博士学位.主要研究方向为通信和信号处理.杨柳青博士一直活跃在学术界, 她组织了多次IEEE国际会议, 并且是许多杂志的编委成员, 包括:IEEE Transactions on Communications, the IEEE Transactions on Wireless Communications, the IEEE Transactions on Intelligent Transportation Systems, 以及IEEE Transactions on Signal Processing.她在2007年曾获得过由美国海军办公室颁发的杰出青年研究员奖, 在2009年获得了美国国家科学基金会职业奖, 在2010年获得了IEEE全球通信杰出服务奖, 在2012年获得了GeorgeT.Abell杰出中职教师奖, 分别于2012年和2016年获得了由科罗拉多州立大学颁发的Ary Corey杰出国际贡献奖, 同时也在IEEE ICUWB、ICCC ITSC GLOBECOM、ICCWCSP等期刊多次获得最佳论文奖. E-mail: lqyang@engr.colostate.edu

    郝君    美国科多拉多州丹佛大学电气与计算机工程系博士研究生.2015年获得美国科罗拉多州丹佛大学电气与计算机工程系获得电气和计算机工程硕士学位.主要研究方向为电力工程.E-mail:jun.hao@du.edu

    戴潇潇    美国科多拉多州丹佛大学电气与计算机工程系博士研究生. 2013年获得丹佛大学电气与计算机工程系电气和计算机工程硕士学位. 2011年获得吉林大学与俄罗斯托木斯克理工大学共同授予的电子工程学士学位.主要研究方向为传感, 机器学习, 信号处理, 系统分析. E-mail: xiaoxiao.dai@du.edu

    通讯作者:

    张俊    美国科罗拉多丹佛大学电气与计算机工程系副教授. 2003年和2005年分别获得华中科技大学电气工程系学士与硕士学位.2008年获得亚利桑那州立大学电气工程博士学位.主要研究方向为传感理论, 信号处理和实现, 时变系统建模, 及其在智能电力和能源系统中的应用.他撰写并共同出版了70多篇同行评议的出版物.他是第48届北美电力研讨会联合技术主席(NAPS 2016).本文通信作者. E-mail:jun.zhang@du.edu

Blockchain Based Intelligent Distributed Electrical Energy Systems:Needs, Concepts, Approaches and Vision

More Information
    Author Bio:

       Associate professor in the Department of Electrical and Computer Engineering, University of Denver, Colorado, USA. He received his master and Ph.D. degrees in Electrical and Computer Engineering, specializing in electric power engineering, from Georgia Institute of Technology, Atlanta, USA in 1999 and 2002, respectively. His research interest covers renewable energy and distributed generation, microgrid, smart grid, power system protection, power electronics applications in power systems, power system modeling and simulation, and hybrid electric propulsion systems. He is an editor of and an associate editor of . He is the General Chair for the 48th North American Power Symposium (NAPS 2016) and the IEEE Symposium on Power Electronics and Machines in Wind Applications (PEMWA 2012).E-mail:

       Senior engineer at the National Renewable Energy Laboratory and a visiting research assistant professor at the University of Denver. He received his bachelor degree from Tianjin University, China in 2003 and his Ph. D. degree from Virginia Polytechnic Institute and State University, USA in 2010. His research interest covers advanced energy management system for future grids, the impact of large-scale integration of renewable energies on power system operations, stability monitoring and analysis of a system with high renewable penetration, and synchrophasor measurements applications on renewable integrations. He is the principal investigator on several Department of Energy and National Renewable Energy Laboratory sponsored projects focusing on wind and solar integration. He has over 10 years of experience in power industry in the areas of power system operation and planning, renewable integration, sensing and monitoring. He authored/coauthored over 50 peer reviewed publications and holds one U. S. patent.E-mail:

        Ph. D. candidate in computer science and engineering with Colorado State University, Fort Collins, CO, USA. He received his bechelor degree in control science and engineering from the Zhejiang University of China, Hangzhou, China, in 2011. His research interest covers include social computing, machine learning, and data analytics.E-mail:

        She received her Ph. D. degree from the University of Minnesota, Minneapolis, MN, USA, in 2004. Her research interest covers communications and signal processing. Dr. Yang has been actively serving in the technical community, including the organization of many IEEE international conferences, and on the editorial boards of a number of journals, including the , ,, and the . She received the Office of Naval Research Young Investigator Program Award in 2007, the National Science Foundation Career Award in 2009, the IEEE GLOBECOM Outstanding Service Award in 2010, the George T. Abell Outstanding Mid-Career Faculty Award and the Art Corey Outstanding International Contributions Award at CSU in 2012 and 2016 respectively, and Best Paper Awards at IEEE ICUWB' 06, ICCC' 13, ITSC' 14, GLOBECOM' 14, ICC' 16, and WCSP' 16.E-mail:

        Ph. D. candidate at University of Denver, majoring in electric power engineering. He received his master degree in electrical and computer engineering, specializing in electric power engineering from University of Denver, Colorado, USA, in 2015. His main research interest is electric power engineering.E-mail:

        Ph. D candidate at the Ritchie School of Engineering and Computer Science, University of Denver, Denver, USA. She received her master degree in Electrical Engineering from the Ritchie School of Engineering and Computer Science, University of Denver, Denver, USA in 2013, her bachelor degree in Electronics and Microelectronics from Jilin University, Changchun, China, and from National Research Tomsk Polytechnic University, Tomsk, Russia in 2011. Her research interest covers sensing, machine learning, signal processing, and network analysis.E-mail:

    Corresponding author: ZHANG Jun     Associate professor in the Department of Electrical and Computer Engineering, University of Denver, USA. He received his bachelor and master degrees in Electrical Engineering from Huazhong University of Science and Technology, Wuhan, China in 2003 and 2005, respectively, and his Ph. D. in Electrical Engineering from Arizona State University, USA in 2008. His research interesting covers sensing theory, signal processing and implementation, time-varying system modeling, and their applications in intelligent power and energy systems. He authored/coauthored over 70 peer reviewed publications and he is the Technical Co-Chair for the 48th North American Power Symposium (NAPS 2016). Corresponding author of this paper.E-mail:jun.zhang@du.edu
  • 摘要: 智能分布式电力能源系统(Intelligent distributed,electrical energy systems,IDEES)具有组件种类繁多,数量庞大,管理困难,利润低微等特点,导致传统中心化的运营管理不再适合此类系统,而区块链技术可能是推行大规模分布式智能电力能源系统重要的技术路径.由于电力能源系统是一种具有社会和技术双重属性的系统,从而注定了其在用区块链实现运行时,必然需要多种区块链来描述和建模其不同的属性,在文中称之为“区块链群”.具体来说,从底层到高层,这个区块链群由分布式数据存储与服务区块链、智能资产管理区块链、电力系统分析区块链、智能合约运营区块链和智能电力交易支付区块链组成.基于区块链技术、分布式文件服务技术、分布式电力系统分析与管理技术,这些不同层次和功能的区块链自我组织、互相协助,最后形成一个分布式自主的电力能源运行系统.在此复杂系统中,频繁而深度的计算与交互衍生出系统智能,笔者期望这种智能将促成稳定、可靠、有效的电力能源生产、传输与消费.
    1)  本文责任编委 王飞跃
  • 图  1  分布式智能电力能源系统区块链群:架构与分层功能

    Fig.  1  Blockchain groups in intelligent distributed electrical energy systems: architecture and functionality

    图  2  区块链信息交互示意图

    Fig.  2  Information interactions within the blockchains

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  • 收稿日期:  2016-10-30
  • 录用日期:  2017-03-21
  • 刊出日期:  2017-09-20

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