Decentralized nonlinear control for power systems using normal forms and detailed models
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Published version
Author(s)
Singh, AK
Pal, BC
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.
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.
Date Issued
2017-08-03
Date Acceptance
2017-07-02
Citation
IEEE Transactions on Power Systems, 2017, 33 (2), pp.1160-1172
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
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
0906 Electrical And Electronic Engineering
Energy
Publication Status
Published
