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

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). pp. 1160-1172. ISSN 0885-8950

Full content URL: http://dx.doi.org/10.1109/TPWRS.2017.2724022

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Item Type:Article
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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 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.

Keywords:decentralized, nonlinear control, normal form, subtransient model, feedback linearization, dynamic state estimation, unscented Kalman filtering, lie derivative, optimal control, Power system stability, Transient analysis, Power system dynamics, Stability analysis, Nonlinear dynamical systems
Subjects:H Engineering > H660 Control Systems
H Engineering > H631 Electrical Power Generation
H Engineering > H630 Electrical Power
H Engineering > H310 Dynamics
Divisions:College of Science > School of Engineering
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ID Code:28767
Deposited On:28 Sep 2017 17:51

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