Discussions on Covariance Matrix of Kalman Filter for Power System Harmonic Analysis

ASIAIR > College of Computer Science > Department of Computer Science and Information Engineering > Journal Artical > Item 310904400/86990

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/86990

Title:	Discussions on Covariance Matrix of Kalman Filter for Power System Harmonic Analysis
Authors:	Cheng-I Chen;Yeong-Chin Chen
Contributors:	資訊工程學系
Keywords:	extended Kalman filter, harmonics, covariance matrix.
Date:	201406
Issue Date:	2014-11-13 06:56:26 (UTC+0)
Abstract:	Extended Kalman filter is an efficient method for harmonic analysis in power system because of its good noise immunity and ability to track the frequency variation. When the filter reaches steady-state, it becomes less sensitive to variations and begins losing tracking ability. This problem can be improved by setting the suitable noise covariance matrix. This paper discusses the effect on the level of noise covariance matrix.
Relation:	2014 International Symposium on Computer, Consumer and Control(IS3C)
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Artical

Files in This Item:

File	Size	Format
index.html	0Kb	HTML	246	View/Open