NDLI: Parameter Estimation of Transmission Line Based on GATS

Content Provider	IEEE Xplore Digital Library
Author	Zhan Min Zhou Su-quan Li Bi-jun Li Lei Lin Gui-hua Yi Jia-liang
Copyright Year	2010
Abstract	In power system, remote measurement data are sent to control center to estimate system state. These data can also be used to estimate parameters of transmission line when errors occur to them. In the case that the measurements contain noises, the estimated parameters may deviate the true value seriously. This paper proposes a hybrid method to estimate the parameters of transmission line. The method consists of Genetic Algorithm and Tabu Search, and integrates the advantages both of them. A correction term, based on design parameters, is brought into the objective function to improve the estimating capability. This method has strong search ability and independence on the initial value, and suits for parallel computing. The simulation results of IEEE 14 bus system illustrate this method effective.
Starting Page	179
Ending Page	182
File Size	497279
Page Count	4
File Format	PDF
ISBN	9781424480944
DOI	10.1109/ISCID.2010.134
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Power transmission lines Gallium Noise power system Transmission line measurements parameter estimation Noise measurement GATS method
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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Parameter Estimation of Transmission Line Based on GATS