一种处理杠杆量测的配电网抗差估计算法

Robust Estimation Algorithm for Distribution System Leverage Measurements

提出了一种新的基于支路电流的配电网抗差估计算法用于消除坏杠杆量测对估计结果的不良影响。该方法利用杠杆量测量的固有特性,在加权最小绝对值(WLAV)估计器的目标函数中引入结构抗差因子;同时借助等价权的概念,将抗差估计转化成最小二乘估计的形式,编程简单,从而使改进后的WLAV估计法不仅能够辨识出非杠杆量测中的不良数据,而且能够有效地抵御杠杆量测量中的坏数据,并得到高精度的估值。实验系统的仿真表明,该方法具有良好的数值稳定性和鲁棒性。

This paper presents a branch-current-based robust estimation for solving leverage measurements contaminated by gross errors of a distribution system. The proposed method introduces structure robust factors to restrict the influence of the leverage points on the WLAV (weighted least absolute value) estimator by considering the inherent characteristic of leverage measurement. Meanwhile, robust estimation is organically combined with the least-square estimation by the concept of equivalent weight so that it is easy to program. This new algorithm can not only inherit the ability of the WLAV estimator that restrains bad non-leverage measurements, but also successfully filter out bad leverage measurements and obtain results with higher precision. The computational efficiency and the robustness of the method are demonstrated on the IEEE-33 bus system.