电力系统保护与控制2012，Vol.40Issue(8)：10-14,5.
基于广域测量和抗差最小二乘法的电力系统谐波状态估计
Power system harmonic state estimation based on generalized measurement and robust least squares
牛胜锁 1刘颖 2梁志瑞 1张建华 1苏海锋2
作者信息
- 1. 新能源电力系统国家重点实验室(华北电力大学),河北保定071003
- 2. 新能源电力系统国家重点实验室(华北电力大学),北京102206
- 折叠
摘要
Abstract
The mathematical model of harmonic state estimation and common least squares algorithm are introduced. As for the shortcoming of least squares that it is less capable of resisting gross error, this paper proposes that the robust least squares is used for harmonic state estimation. Robust least squares that combines robust estimation principle with least squares by equivalent weight, which effectively solves the issue that least squares does not resist gross error. The paper sets up a mathematical model of distribution network by using Matlab, so that receives the synchronous measurement data of harmonic for researching. When normal distribution error of gross error is added to the measurement data, the harmonic state is estimated with least squares and robust least squares. The results show that the harmonic state estimation result's accuracy of robust least squares is higher than that of least squares when the measurement data contains gross error.关键词
广域测量/谐波状态估计/Huber法Key words
generalized measurement/ harmonic state estimation/ Huber way分类
信息技术与安全科学引用本文复制引用
牛胜锁,刘颖,梁志瑞,张建华,苏海锋..基于广域测量和抗差最小二乘法的电力系统谐波状态估计[J].电力系统保护与控制,2012,40(8):10-14,5.
