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

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Title: Decentralized nonlinear control for power systems using normal forms and detailed models
Authors: Singh, AK
Pal, BC
Item Type: Journal 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 as well as 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 contr ol law is the detailed subtransient model of synchronous machines as recommended by 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 dynamic state estimation technique. As the employed control and estimation schemes only need local measurements, the method remains completely decentralized. The method has been demon- strated 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.
Issue Date: 3-Aug-2017
Date of Acceptance: 2-Jul-2017
URI: http://hdl.handle.net/10044/1/49884
DOI: https://dx.doi.org/10.1109/TPWRS.2017.2724022
ISSN: 1558-0679
Publisher: IEEE
Start Page: 1160
End Page: 1172
Journal / Book Title: IEEE Transactions on Power Systems
Volume: 33
Issue: 2
Copyright Statement: © 2017 The Author(s) This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
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: 0906 Electrical And Electronic Engineering
Energy
Publication Status: Published
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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