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

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

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 dead-band 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.

governor dead-band, Load frequency control, parameter estimation, primary frequency response, unscented Kalman filter
0885-8950
3546-3558
Bhui, Pratyasa
40af4ae6-4f0c-4639-911d-4038a81822ee
Senroy, Nilanjan
e13f898b-76a3-42db-9971-024405b38574
Singh, Abhinav K.
6df7029f-21e3-4a06-b5f7-da46f35fc8d3
Pal, Bikash C.
c062978e-53eb-4d5d-ace8-746ccafa5fb0
Bhui, Pratyasa
40af4ae6-4f0c-4639-911d-4038a81822ee
Senroy, Nilanjan
e13f898b-76a3-42db-9971-024405b38574
Singh, Abhinav K.
6df7029f-21e3-4a06-b5f7-da46f35fc8d3
Pal, Bikash C.
c062978e-53eb-4d5d-ace8-746ccafa5fb0

Bhui, Pratyasa, Senroy, Nilanjan, Singh, Abhinav K. and Pal, Bikash C. (2018) Estimation of inherent governor dead-band and regulation using unscented Kalman filter. IEEE Transactions on Power Systems, 33 (4), 3546-3558. (doi:10.1109/TPWRS.2017.2765692).

Record type: 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 dead-band 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.

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More information

Accepted/In Press date: 16 October 2017
e-pub ahead of print date: 25 October 2017
Published date: 1 July 2018
Keywords: governor dead-band, Load frequency control, parameter estimation, primary frequency response, unscented Kalman filter

Identifiers

Local EPrints ID: 430933
URI: http://eprints.soton.ac.uk/id/eprint/430933
ISSN: 0885-8950
PURE UUID: 5b1e4251-8f3f-45ce-9af8-5621d8037411
ORCID for Abhinav K. Singh: ORCID iD orcid.org/0000-0003-3376-6435

Catalogue record

Date deposited: 17 May 2019 16:30
Last modified: 17 Dec 2019 01:21

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Contributors

Author: Pratyasa Bhui
Author: Nilanjan Senroy
Author: Abhinav K. Singh ORCID iD
Author: Bikash C. Pal

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