电力系统抗差状态估计研究综述

A review of power system robust state estimation

状态估计是电力系统能量管理系统的重要组成部分。传统加权最小二乘估计不具备抗差性,为此产生了抗差估计理论。本文介绍了抗差估计的定义、目标及基本类型,综述了电力系统抗差状态估计的经典方法和新方法。经典方法主要包括M估计、GM估计、高崩溃污染率估计等;新方法包括新息图状态估计、最大相关熵估计、最小信息损失状态估计、最多赞成状态估计、最多约束满足状态估计、最大合格率状态估计、最大正常测点率状态估计等。各种新方法通过增加有利于估计的信息提高了估计的抗差性,促进了电力系统状态估计的研究。文中分析比较了各种方法的优缺点,并对今后电力系统抗差状态估计的研究进行了展望。

State estimation is an important part of the energy management system of the power system.As the weighted least squares estimation does not have robustness,robust estimation theory was proposed.This paper introduces the definition,goals,and types of the robust estimation and reviews both classical and newly emerging power system robust state estimation methods.The classical methods mainly include M estimation,GM estimation,and high break-down point estimation.The new methods mainly include innovation graph state estimation,maximum correntropy estimation,minimum information loss state estimation,maximum agreement estimation,maximum constraints satisfaction estimation,maximum good measurement rate state estimation,and maximum normal measurement rate state estimation.The new methods improve the robustness of state estimation by adding useful information and thus promote the development of the study on power system state estimation.Various methods are compared and the advantages and disadvantages of these methods are analyzed.At the end of this paper the prospect of this research area is envisioned.