Open AccessDecentralized Nonlinear Control for Power Systems Using Normal Forms and Detailed Models
Author(s) -
Abhinav Kumar Singh,
Bikash C. Pal
Publication year - 2018
Publication title -
ieee transactions on power systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.312
H-Index - 263
eISSN - 1558-0679
pISSN - 0885-8950
DOI - 10.1109/tpwrs.2017.2724022
Subject(s) - power, energy and industry applications , components, circuits, devices and systems
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.