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

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

1.
东北大学信息科学与工程学院沈阳 110819

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

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- 文章访问数: 1230
- HTML全文浏览量: 742
- PDF下载量: 365
- 被引次数: 0
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

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

1.
College of Information Science and Engineering, Northeastern University, Shenyang 110819

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

摘要

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.
- 信息能源系统 /
- 综合能源系统 /
- 能源互联网 /
- 智慧能源 /
- 学术地图
Abstract:
This article uses the scientific knowledge map method to systematically comb the overall overview of the cyber energy system research, and displays the hotspots and academic chains in the professional field of cyber energy systems in a data and knowledge hybrid drive. This article focuses on four key research areas: Optimal scheduling, consistent control, user-driven optimal management, cyber and energy integration system. On the basis of co-citation analysis, it manually selects high-impact literature according to the importance and contribution of literature, and summarizes the evolution and development trend of cyber energy system research. The analysis shows that the current information technology as a powerful support drives the development of the energy system, but the connection between cyber and energy is still not close enough, and the full exploration of the value of energy data needs further research.
- Cyber energy system /
- integrated energy system /
- energy Internet /
- smart energy /
- academic map

HTML全文

图 1 2001 ~ 2019年发文数统计

Fig. 1 Statistics of published papers from 2001 to 2019

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图 2 CNKI关键词共现分析

Fig. 2 CNKI keywords co-occurrence analysis

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图 3 WoS关键词共现分析

Fig. 3 WoS keywords co-occurrence analysis

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图 4 信息能源系统与热点研究领域

Fig. 4 Cyber energy system and hot research fields

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图 5 优化相关领域的聚类

Fig. 5 Clustering of optimize related fields

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图 6 控制相关领域的聚类

Fig. 6 Clustering of control related fields

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图 7 管理相关领域的聚类

Fig. 7 Clustering of manage related fields

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图 8 CPS相关领域的聚类

Fig. 8 Clustering of CPS related fields

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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	LCS	GCS	LCR	CR
Mancarella^[9]	2014	71	446	2	167
Huang 等^[10]	2011	62	667	0	32
Sun 等^[11]	2015	32	152	2	44
Wang 等^[12]	2018	23	72	6	113
Bui 等^[13]	2012	20	113	0	15
Mathiesen 等^[14]	2015	19	384	0	120
Liu 等^[15]	2016	19	80	3	40
Sun 等^[16]	2017	17	52	2	44
Bao 等^[17]	2015	16	95	0	24
Zhou 等^[18]	2016	16	79	3	137

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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	9.39	2015	2017
智能电网	7.90	2014	2016
能源系统	5.10	2005	2015
Control	4.67	2003	2013
分布式能源	4.64	2005	2016
家庭能源管理系统	4.50	2014	2017
分布式能源系统	4.12	2015	2016
能源路由器	4.10	2015	2017
电动汽车	4.01	2001	2017
优化	3.93	2004	2017
energy	3.89	2008	2014
可再生能源	3.50	2007	2016
全球能源互联网	3.21	2016	2017
优化运行	3.19	2015	2018
大数据	3.10	2015	2016
新能源电力系统	3.10	2015	2016
控制	3.01	2007	2016
electricity market	2.93	2006	2017
optimization	2.81	2009	2011
优化规划	2.78	2004	2016
coordination	2.75	2017	2018
reduction	2.72	2016	2018
smart grid	2.64	2014	2015
design	2.40	2009	2010
cyber-physical system	2.36	2010	2014
能源管理	2.35	2011	2016
solar	2.32	2009	2014

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