数据驱动的有源配电网运行态势智能感知方法

Data-Driven Intelligent Situational Awareness of Active Distribution Networks

态势感知是保障有源配电网安全、可靠、经济运行的重要方法。随着近年来电力数据采集技术与大数据技术的发展,数据驱动的有源配电网态势感知得到了广泛的研究与应用。文章对数据驱动的有源配电网态势感知问题进行了分析,给出态势感知的整体研究框架,然后从态势觉察、态势理解、态势预测与态势利导4个方面对相关研究进行了综述,并对有源配电网信息物理系统的态势感知研究进行了讨论。最后,针对现有的研究方法进行总结与整理,分析了当前研究的不足与挑战,提出了未来研究的重点与方向。

Situational awareness is an important method for ensuring secure,reliable,and economic operation of active distribution networks.Recently,with the development of electrical data acquisition and big data technologies,researchers have extensively studied the data-driven situational awareness of active distribution networks for various applications.This study analyzes the data-driven situational awareness problem of active distribution networks to provide an overall research framework.Relevant research was reviewed from four perspectives:situational perception,comprehension,projection,and orientation.In addition,research on situational awareness of an active distribution network cyber-physical system(CPS) was analyzed and discussed.Finally,this paper summarizes the existing methods,analyzes their shortcomings and challenges,and puts forward emphasis and directions for future research.