Title: Power system harmonic state estimation based on generalized measurement and robust least squares
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.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
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