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

Version 4 2024-03-12, 15:45
Version 3 2023-10-29, 12:08
journal contribution
posted on 2024-03-12, 15:45 authored by Abhinav Kumar Singh, Bikash C. Pal
<p>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 control 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 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.</p>

History

School affiliated with

  • School of Engineering (Research Outputs)

Publication Title

IEEE Transactions on Power Systems

Volume

33

Issue

2

Pages/Article Number

1160-1172

Publisher

IEEE

ISSN

0885-8950

Date Submitted

2017-09-28

Date Accepted

2018-03-31

Date of First Publication

2017-08-03

Date of Final Publication

2018-03-31

Date Document First Uploaded

2017-09-15

ePrints ID

28767