Estimation of inherent governor dead-band and regulation using unscented Kalman filter

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Title: Estimation of inherent governor dead-band and regulation using unscented Kalman filter
Authors: Bhui, P
Senroy, N
Singh, A
Pal, B
Item Type: Journal Article
Abstract: The inclusion of the governor droop and dead-band in dynamic models helps to reproduce the measured frequency response accurately and is a key aspect of model validation. Often, accurate and detailed turbine-governor information are not available for various units in an area control centre. The uncertainty in the droop also arise from the nonlinearity due to the governor valves. The droop and deadband are required to tune the secondary frequency bias factors, and to determine the primary frequency reserve. Earlier research on droop estimation did not adequately take into account the effect of dead-band and other nonlinearities. In this paper, unscented Kalman filter is used in conjunction with continuously available measurements to estimate the governor droop and the dead-band width. The effectiveness of the approach is demonstrated through simulations
Issue Date: 4-Jul-2018
Date of Acceptance: 16-Oct-2017
URI: http://hdl.handle.net/10044/1/58850
DOI: https://dx.doi.org/10.1109/TPWRS.2017.2765692
ISSN: 0885-8950
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 3546
End Page: 3558
Journal / Book Title: IEEE Transactions on Power Systems
Volume: 33
Issue: 4
Copyright Statement: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (E
Engineering and Physical Sciences Research Council
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: R96051 - EP/K036173/1
N/A
DPF2015-P60110-HAHN
Keywords: Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Load frequency control
parameter estimation
unscented Kalman filter
primary frequency response
governor dead-band
LOAD FREQUENCY CONTROL
ISOLATED POWER-SYSTEM
ONLINE ESTIMATION
PARAMETERS
RESERVE
BIAS
0906 Electrical And Electronic Engineering
Energy
Publication Status: Published
Open Access location: http://eprints.lincoln.ac.uk/29972/1/Final%20accepted.pdf
Online Publication Date: 2017-10-25
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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