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1.武汉大学电气与自动化工程学院,湖北省武汉市 430072
2.青海大学新能源光伏产业研究中心,青海省西宁市 810016
王波(1978—),男,博士,教授,博士生导师,主要研究方向:电力大数据、电力视觉。E-mail:whwdwb@whu.edu.cn
王红霞(1995—),女,通信作者,博士研究生,主要研究方向:电力大数据及融合。E-mail:2018282070092@whu.edu.cn
姚良忠(1961—),男,博士,教授,博士生导师,主要研究方向:新能源发电及并网、直流电网技术。E-mail:yaoliangzhong@whu.edu.cn
收稿日期:2021-08-11,
修回日期:2022-02-26,
网络出版日期:2022-04-26,
纸质出版日期:2022-10-10
移动端阅览
王波,王红霞,姚良忠等.电力系统多模态数据融合模式及关键技术问题[J].电力系统自动化,2022,46(19):188-199.
WANG Bo,WANG Hongxia,YAO Liangzhong,et al.Multi-modal Data Fusion Mode for Power System and Its Key Technical Issues[J].Automation of Electric Power Systems,2022,46(19):188-199.
王波,王红霞,姚良忠等.电力系统多模态数据融合模式及关键技术问题[J].电力系统自动化,2022,46(19):188-199. DOI: 10.7500/AEPS20210811008.
WANG Bo,WANG Hongxia,YAO Liangzhong,et al.Multi-modal Data Fusion Mode for Power System and Its Key Technical Issues[J].Automation of Electric Power Systems,2022,46(19):188-199. DOI: 10.7500/AEPS20210811008.
在能源转型和信息化建设背景下,电力系统中的多模态数据是客观存在,多模态数据融合是推进多种异质网络协同分析、电网可观可控的有效途径。基于此,首先对电力系统多模态数据及多模态数据融合进行剖析,给出了包含网内和网间融合的多模态数据融合体系,并分别对2类融合的融合模式进行了划分;然后,结合研究现状对网内和网间融合存在的关键问题进行总结,给出了相应的技术解决路线;最后,从概念、融合模式和关键技术问题以及解决思路3个方面对电力系统多模态数据融合进行了总结。
Under the background of the energy transition and informatization construction
the multi-modal data for the power system exist objectively. The multi-modal data fusion is an effective way to implement the collaborative analysis of multiple heterogeneous networks and to push forward observable and controllable power grids. On this basis
the multi-modal data and multi-modal data fusion for power systems are analyzed. And the multi-modal data fusion frameworks are given including the intra-network fusion and inter-network fusion
and their respective fusion modes are also divided. Then
with the current research status
the key problems of intra-network fusion and inter-network fusion are summarized
and the corresponding technical solutions are proposed. Finally
from the aspects of the concept
fusion mode
key technical issues
and solutions
the multi-modal data fusion for power systems is summarized.
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