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Decentralized control of oscillatory dynamics in power systems using an extended LQR

Decentralized control of oscillatory dynamics in power systems using an extended LQR
Decentralized control of oscillatory dynamics in power systems using an extended LQR

This paper proposes a decentralized algorithm for real-time control of oscillatory dynamics in power systems. The algorithm integrates dynamic state estimation (DSE) with an extended linear quadratic regulator (ELQR) for optimal control. The control for one generation unit only requires measurements and parameters for that unit, and hence the control at a unit remains completely independent of other units. The control gains are updated in real-time, therefore the control scheme remains valid for any operating condition. The applicability of the proposed algorithm has been demonstrated on a representative power system model.

Decentralized, dynamic state estimation, extended linear quadratic regulator, Optimal control
0885-8950
1715-1728
Singh, Abhinav Kumar
6df7029f-21e3-4a06-b5f7-da46f35fc8d3
Pal, Bikash C.
c062978e-53eb-4d5d-ace8-746ccafa5fb0
Singh, Abhinav Kumar
6df7029f-21e3-4a06-b5f7-da46f35fc8d3
Pal, Bikash C.
c062978e-53eb-4d5d-ace8-746ccafa5fb0

Singh, Abhinav Kumar and Pal, Bikash C. (2016) Decentralized control of oscillatory dynamics in power systems using an extended LQR. IEEE Transactions on Power Systems, 31 (3), 1715-1728, [7202912]. (doi:10.1109/TPWRS.2015.2461664).

Record type: Article

Abstract

This paper proposes a decentralized algorithm for real-time control of oscillatory dynamics in power systems. The algorithm integrates dynamic state estimation (DSE) with an extended linear quadratic regulator (ELQR) for optimal control. The control for one generation unit only requires measurements and parameters for that unit, and hence the control at a unit remains completely independent of other units. The control gains are updated in real-time, therefore the control scheme remains valid for any operating condition. The applicability of the proposed algorithm has been demonstrated on a representative power system model.

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More information

Accepted/In Press date: 26 July 2015
e-pub ahead of print date: 14 August 2015
Published date: 1 May 2016
Keywords: Decentralized, dynamic state estimation, extended linear quadratic regulator, Optimal control
Learn more about Electrical Power Engineering research

Identifiers

Local EPrints ID: 431013
URI: http://eprints.soton.ac.uk/id/eprint/431013
DOI: doi:10.1109/TPWRS.2015.2461664
ISSN: 0885-8950
PURE UUID: 216fea3b-99c5-4dea-9e8c-59d1cb9161c3
ORCID for Abhinav Kumar Singh: ORCID iD orcid.org/0000-0003-3376-6435

Catalogue record

Date deposited: 21 May 2019 16:30
Last modified: 18 Mar 2024 03:52

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Contributors

Author: Abhinav Kumar Singh ORCID iD
Author: Bikash C. Pal

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