智能配电网状态估计研究现状和展望

Status Quo and Prospect of Researches on State Estimation for Smart Distribution Network

状态估计是智能配电网态势感知的关键环节,随着大规模分布式电源接入配电网及新型量测技术规模化的运用,需要根据新类型电源与量测装置的特点对状态估计技术进行更为深入的研究。本文首先阐述了当前静态、动态状态估计的主流算法研究现状,并在此基础上对由通信不稳定引起的量测数据延时、数据丢包问题的现有解决方案进行了详细总结与剖析;其次,对传统量测装置与新型量测装置并存的情况下出现的混合状态估计算法进行了概述;再次,从攻击者的角度分析了现有的虚假数据构建方法,从防御者的角度归纳了当前研究的虚假数据辨识策略;最后,对新形态下配电网状态估计技术进一步发展应重点关注的研究方向进行了探讨和分析。

State estimation is a key link in the situation awareness of smart distribution network.With the connection of a large number of distributed generations(DGs)to distribution network and the large-scale application of novel mea⁃surement technologies,it is necessary to conduct more in-depth studies on the state estimation technology considering the characteristics of novel power supplies and measurement devices.In this paper,the status quo of researches on the static and dynamic state estimation algorithms are described at first,based on which the existing solutions to the prob⁃lems of measurement data delay and data packet loss caused by unstable communication are analyzed in detail.Second,the hybrid state estimation algorithms are summarized for the case where the traditional and novel measurement devices coexist.Afterwards,the existing methods of constructing false data and their identification strategies are summarized from the aspects of attackers and defenders,respectively.Finally,the future development of the state estimation tech⁃nology for new forms of distribution network is discussed and analyzed.