新型电力系统多源异构数据融合技术研究现状及展望

Status Quo and Prospect of Multi-source Heterogeneous Data Fusion Technology for New Power System

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。

In the context of energy transition,the new power system is being built continuously with the goal of being clean and lowcarbon,open and interactive.With the fast development of monitoring technology and communication technology,the data sources of power system have become more diverse and the structures of the data have become more complex,which provides a data basis for and at same time brings new challenges to the new power system data fusion.Firstly,the data characteristics of the new power system are analyzed and the data fusion requirements of the new power system are proposed.Then the data model of the new power system and the hierarchical division of multi-source heterogeneous data fusion technologies are introduced,and the advantages and limitations of the key fusion technologies and their applicable scenarios are analyzed.The data requirements,data sources,fusion objectives,common methods and research difficulties of multi-source heterogeneous data fusion technologies are summarized under five typical scenarios,including transmission and distribution collaboration,source-grid-load-storage collaboration,virtual power plants,multi-type loads,and electricity-carbon trading.Finally,the future prospects of the new power system data fusion technology are explored.