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比特驱动的瓦特变革—信息能源系统研究综述

孙秋野 王一帆 杨凌霄 张化光

孙秋野, 王一帆, 杨凌霄, 张化光. 比特驱动的瓦特变革—信息能源系统研究综述. 自动化学报, 2021, 47(1): 50−63 doi: 10.16383/j.aas.c200634
引用本文: 孙秋野, 王一帆, 杨凌霄, 张化光. 比特驱动的瓦特变革—信息能源系统研究综述. 自动化学报, 2021, 47(1): 50−63 doi: 10.16383/j.aas.c200634
Sun Qiu-Ye, Wang Yi-Fan, Yang Ling-Xiao, Zhang Hua-Guang. Bit-driven Watt revolution—A review of cyber energy system. Acta Automatica Sinica, 2021, 47(1): 50−63 doi: 10.16383/j.aas.c200634
Citation: Sun Qiu-Ye, Wang Yi-Fan, Yang Ling-Xiao, Zhang Hua-Guang. Bit-driven Watt revolution—A review of cyber energy system. Acta Automatica Sinica, 2021, 47(1): 50−63 doi: 10.16383/j.aas.c200634

比特驱动的瓦特变革—信息能源系统研究综述

doi: 10.16383/j.aas.c200634
基金项目: 国家重点研发计划(2018YFA0702200), 国家自然科学基金(62073065)资助
详细信息
    作者简介:

    孙秋野:东北大学信息科学与工程学院教授. 主要研究方向为网络控制技术, 分布式控制技术, 分布式优化分析及其在能源互联网、微网、配电网等领域相关应用. 本文通信作者. E-mail: sunqiuye@mail.neu.edu.cn

    王一帆:东北大学信息科学与工程学院硕士研究生. 主要研究方向为机器学习及其在能源互联网、微网和配电网等领域相关应用. E-mail: effortking@163.com

    杨凌霄:东北大学信息科学与工程学院博士研究生. 主要研究方向为机器学习及其在能源互联网、微网和配电网等领域相关应用. E-mail: ylxiao66@163.com

    张化光:东北大学信息科学与工程学院教授. 主要研究方向为自适应动态规划, 模糊控制, 网络控制, 混沌控制. E-mail: zhanghuaguang@mail.neu.edu.cn

Bit-driven Watt Revolution—A Review of Cyber Energy System

Funds: Supported by National Key R&D Program of China (2018YFA0702200), National Natural Science Foundation of China (62073065)
  • 摘要:

    采用科学知识图谱的方法系统梳理了信息能源系统研究的整体概况, 以数据和知识混合驱动的方式展现了信息能源系统专业领域的热点领域和学术链条, 并聚焦4个重点研究领域: 优化调度、一致控制、用户驱动的优化管理、信息能源深度融合系统. 在共被引分析基础上, 依据文献重要性和贡献度人工筛选出高影响力文献, 梳理了信息能源系统研究演化发展趋势. 分析表明, 当前信息技术作为有力的支撑驱动了能源系统的发展, 但信息与能源之间的联系仍不够紧密, 对能源数据价值的充分挖掘等问题亦需进一步研究.

  • 图  1  2001 ~ 2019年发文数统计

    Fig.  1  Statistics of published papers from 2001 to 2019

    图  2  CNKI关键词共现分析

    Fig.  2  CNKI keywords co-occurrence analysis

    图  3  WoS关键词共现分析

    Fig.  3  WoS keywords co-occurrence analysis

    图  4  信息能源系统与热点研究领域

    Fig.  4  Cyber energy system and hot research fields

    图  5  优化相关领域的聚类

    Fig.  5  Clustering of optimize related fields

    图  6  控制相关领域的聚类

    Fig.  6  Clustering of control related fields

    图  7  管理相关领域的聚类

    Fig.  7  Clustering of manage related fields

    图  8  CPS相关领域的聚类

    Fig.  8  Clustering of CPS related fields

    表  1  领域内的研究热点文献

    Table  1  Hot research literature in the field

    作者文献时间LCSGCSLCRCR
    Mancarella[9]2014714462167
    Huang 等[10]201162667032
    Sun 等[11]201532152244
    Wang 等[12]201823726113
    Bui 等[13]201220113015
    Mathiesen 等[14]2015193840120
    Liu 等[15]20161980340
    Sun 等[16]20171752244
    Bao 等[17]20151695024
    Zhou 等[18]201616793137
    下载: 导出CSV

    表  2  中英文混合关键词突现分析

    Table  2  Emergence analysis of keywords in Chinese and English

    关键词强度起始时
    间 (年)
    终止时
    间 (年)
    2001 ~ 2020 年
    信息物理系统9.3920152017
    智能电网7.9020142016
    能源系统5.1020052015
    Control4.6720032013
    分布式能源4.6420052016
    家庭能源管理系统4.5020142017
    分布式能源系统4.1220152016
    能源路由器4.1020152017
    电动汽车4.0120012017
    优化3.9320042017
    energy3.8920082014
    可再生能源3.5020072016
    全球能源互联网3.2120162017
    优化运行3.1920152018
    大数据3.1020152016
    新能源电力系统3.1020152016
    控制3.0120072016
    electricity market2.9320062017
    optimization2.8120092011
    优化规划2.7820042016
    coordination2.7520172018
    reduction2.7220162018
    smart grid2.6420142015
    design2.4020092010
    cyber-physical system2.3620102014
    能源管理2.3520112016
    solar2.3220092014
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-08-10
  • 修回日期:  2020-10-13
  • 网络出版日期:  2021-01-29
  • 刊出日期:  2021-01-29

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