物联网对能源转型的支撑

doi:10.11959/j.issn.2096-3750.2019.00084

Abstract

Abstract:

The trend of energy transformation is to integrate smart grid into comprehensive energy.The research method is to establish the framework of energy information,physics and social system research.The active support of power transformation is the guarantee of the success of energy transformation.The proposed scheme emphasized the importance of social factors in practical engineering and research.As a new research methodology,it was compatible with mixed simulation of data,model and behavior.The widely used method in engineering was extended to economics and sociology,and the decision-making method based on subjective experience was made more scientific.In addition,in the definition of the Internet of things,the idea of removing the limitations of the Internet was proposed,and a unified framework was used to reflect the impact of the combination of the Internet/private network and other technologies.

Key words: energy grid, energy transformation, electrical power system, Internet of things, coordination and integration

CLC Number:

TP393

Yusheng XUE,Hongbo ZHU,Qin WANG,Haitao ZHAO. Support of the Internet of things for energy transformation[J]. Chinese Journal on Internet of Things, 2019, 3(1): 1-7.

Figures/Tables 7

References 10

[1]	电力规划设计总院. 中国能源发展报告[Z]. 2017.
	General Institute of Electric Power Planning and Design. China Energy Development Report[Z]. 2017.
[2]	智研咨询集团. 2019—2025年中国能源行业市场竞争格局及投资前景预测报告[Z]. 2018.
	Grail Insights. Forecast report on market competition pattern and investment prospect of china’s energy industry in 2019-2025[Z]. 2018.
[3]	XUE Y , YU X . Beyond smart grid—cyber-physical-social system in energy future[J]. Proceedings of the IEEE, 2017,105(12): 2290-2292.
[4]	YU X , XUE Y . Smart grids:a cyber-physical systems perspective[J]. Proceedings of the IEEE, 2016,104(5): 1058-1070.
[5]	薛禹胜, 李满礼, 罗剑波 ,等. 基于关联特性矩阵的电网信息物理系统耦合建模方法[J]. 电力系统自动化, 2018,42(2): 11-19.
	XUE Y S , LI M L , LUO J B ,et al. Modeling method for coupling relations in cyber physical power systems based on correlation characteristic matrix[J]. Automation of Electric Power Systems, 2018,42(2): 11-19.
[6]	ZHAO J H , WEN F , DONG Z Y ,et al. Optimal dispatch of electric vehicles and wind power using enhanced particle swarm optimization[J]. IEEE Transactions on Industrial Informatics, 2012,8(4): 889-899.
[7]	LIU Z , WEN F , XUE Y ,et al. Optimal sitting and sizing of electric vehicle charging stations[J]. Automation of Electric Power Systems, 2012,36(3): 54-59.
[8]	CAI Q , WEN F , XUE Y ,et al. An SCUC-based optimization approach for power system dispatching with plug-in hybrid electric vehicles[J]. Automation of Electric Power Systems, 2012,36(1): 38-46.
[9]	YAO W , ZHAO J , WEN F ,et al. A charging and discharging dispatching strategy for electric vehicles based on bi-level optimization[J]. Automation of Electric Power Systems, 2012,36(11): 30-37.
[10]	刘伟佳, 吴秋伟, 文福拴 ,等. 电动汽车和可控负荷参与配电系统阻塞管理的市场机制[J]. 电力系统自动化, 2014,38(24): 26-33.
	LIU W J , WU Q W , WEN F S ,et al. A market mechanism for participation of electric vehicles and dispatchable loads in distribution system congestion management[J]. Automation of Electric Power Systems, 2014,38(24): 26-33.

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数据来源	SCADA		PMU	互联网	物联网中的传感器	仿真器
数据来源	SCADA		PMU	互联网	站点内　　　　物体上	仿真器
感知对象	物理状态		物理动态	二次数据	物理状态/博弈行为	数学模型
对象的空间位置		固定		网站地址	不定	模型中
传感器的空间位置		固定		隐藏在二次数据的后面	固定　　　　　不定	模型输出
时间特性	静态、不同步		动态、同步	静态、不同步	静态/动态；不同步/同步	同步的静态/动态
描述内容	对象状态		过程动态	统计信息	对象及过程	大数据
实时性要求	在线级别		实时级别	离线级别	在线级别	离线级别
可靠性	极高		极高	较低	高	依赖类型

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Support of the Internet of things for energy transformation

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