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Decentralized nonlinear control for power systems using normal forms and detailed models

Decentralized nonlinear control for power systems using normal forms and detailed models
Decentralized nonlinear control for power systems using normal forms and detailed models

This paper proposes a decentralized method for nonlinear control of oscillatory dynamics in power systems. The method is applicable for ensuring both transient stability and small-signal stability. The method uses an optimal control law, which has been derived in the general framework of nonlinear control using normal forms. The model used to derive the control law is the detailed subtransient model of synchronous machines, as recommended by the IEEE. Minimal approximations have been made in either the derivation or the application of the control law. The developed method also requires the application of the dynamic state estimation technique. As the employed control and estimation schemes only need local measurements, the method remains completely decentralized. The method has been demonstrated as an effective tool to prevent blackouts by simulating a major disturbance in a benchmark power system model and its subsequent control using the proposed method.

Decentralized, dynamic state estimation, feedback linearization, lie derivative, nonlinear control, normal form, optimal control, subtransient model, unscented Kalman filtering
0885-8950
1160-1172
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. (2018) Decentralized nonlinear control for power systems using normal forms and detailed models. IEEE Transactions on Power Systems, 33 (2), 1160-1172. (doi:10.1109/TPWRS.2017.2724022).

Record type: Article

Abstract

This paper proposes a decentralized method for nonlinear control of oscillatory dynamics in power systems. The method is applicable for ensuring both transient stability and small-signal stability. The method uses an optimal control law, which has been derived in the general framework of nonlinear control using normal forms. The model used to derive the control law is the detailed subtransient model of synchronous machines, as recommended by the IEEE. Minimal approximations have been made in either the derivation or the application of the control law. The developed method also requires the application of the dynamic state estimation technique. As the employed control and estimation schemes only need local measurements, the method remains completely decentralized. The method has been demonstrated as an effective tool to prevent blackouts by simulating a major disturbance in a benchmark power system model and its subsequent control using the proposed method.

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Accepted/In Press date: 2 July 2017
e-pub ahead of print date: 3 August 2017
Published date: 1 March 2018
Keywords: Decentralized, dynamic state estimation, feedback linearization, lie derivative, nonlinear control, normal form, optimal control, subtransient model, unscented Kalman filtering

Identifiers

Local EPrints ID: 430936
URI: http://eprints.soton.ac.uk/id/eprint/430936
ISSN: 0885-8950
PURE UUID: 08057cc5-5f35-4d50-b18d-ee00775176fd
ORCID for Abhinav Kumar Singh: ORCID iD orcid.org/0000-0003-3376-6435

Catalogue record

Date deposited: 17 May 2019 16:30
Last modified: 16 Sep 2021 02:00

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Contributors

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

University divisions

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