中国电力 ›› 2023, Vol. 56 ›› Issue (4): 1-15.DOI: 10.11930/j.issn.1004-9649.202211077
王臻1, 刘东1, 徐重酉2, 翁嘉明1, 陈飞1
收稿日期:
2022-11-18
修回日期:
2023-02-28
出版日期:
2023-04-28
发布日期:
2023-04-26
作者简介:
王臻(1998-),女,硕士研究生,从事配电网数据融合及治理技术研究,E-mail:evener@sjtu.edu.cn;刘东(1968-),男,通信作者,博士,长聘教授,从事智能配电网、能源互联网、电网信息物理系统研究,E-mail:dongliu@sjtu.edu.cn
基金资助:
WANG Zhen1, LIU Dong1, XU Chongyou2, WENG Jiaming1, CHEN Fei1
Received:
2022-11-18
Revised:
2023-02-28
Online:
2023-04-28
Published:
2023-04-26
Supported by:
摘要: 能源转型背景下,新型电力系统以清洁低碳、开放互动为目标不断建设,同时监测技术与通信技术也快速发展,电力系统中的数据来源更加广泛,数据结构更加复杂,为新型电力系统数据融合提供数据基础的同时也提出了挑战。首先,分析新型电力系统数据特征,提出新型电力系统的数据融合需求;接着,介绍新型电力系统数据模型、多源异构数据融合技术层级,分析关键融合技术的优缺点,并对不同技术的适用场景进行分析;然后,分别从输配协同、源网荷储协同、虚拟电厂、多元负荷、电碳市场交易5个典型场景,对多源异构数据融合的数据需求、数据来源、融合目标、常见方法及研究难点进行归纳;最后,对新型电力系统数据融合技术的未来研究发展进行了展望。
王臻, 刘东, 徐重酉, 翁嘉明, 陈飞. 新型电力系统多源异构数据融合技术研究现状及展望[J]. 中国电力, 2023, 56(4): 1-15.
WANG Zhen, LIU Dong, XU Chongyou, WENG Jiaming, CHEN Fei. Status Quo and Prospect of Multi-source Heterogeneous Data Fusion Technology for New Power System[J]. Electric Power, 2023, 56(4): 1-15.
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