Estimation of inherent governor dead-band and regulation using unscented Kalman filter
File(s)Final%20accepted.pdf (2.01 MB)
Accepted version
Author(s)
Bhui, Pratyasha
Senroy, Nilanjan
Singh, Abhinav
Pal, Bikash
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
Date Issued
2018-07-04
Date Acceptance
2017-10-16
Citation
IEEE Transactions on Power Systems, 2018, 33 (4), pp.3546-3558
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
Engineering & Physical Science Research Council (E
Engineering and Physical Sciences Research Council
Engineering & Physical Science Research Council (EPSRC)
Grant Number
R96051 - EP/K036173/1
N/A
DPF2015-P60110-HAHN
Subjects
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
Date Publish Online
2017-10-25