Decentralized control of oscillatory dynamics in power systems using an extended LQR

Singh, Abhinav Kumar and Pal, Bikash C. (2016) Decentralized control of oscillatory dynamics in power systems using an extended LQR. IEEE Transactions on Power Systems, 31 (3). pp. 1715-1728. ISSN 0885-8950

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This paper proposes a decentralized algorithm for real-time control of oscillatory dynamics in power systems. The algorithm integrates dynamic state estimation (DSE) with an extended linear quadratic regulator (ELQR) for optimal control. The control for one generation unit only requires measurements and parameters for that unit, and hence the control at a unit remains completely independent of other units. The control gains are updated in real-time, therefore the control scheme remains valid for any operating condition. The applicability of the proposed algorithm has been demonstrated on a representative power system model.

Additional Information:Issue date is May 2016
Keywords:Decentralized, dynamic state estimation, extended linear quadratic regulator, optimal control, decentralized control, power system oscillatory dynamics, extended LQR, real-time control, DSE, representative power system model, decentralised control, linear quadratic control, power system control, power system dynamic stability, power system state estimation, Power system dynamics, Power system stability, Heuristic algorithms, Oscillators, Phasor measurement units, Mathematical model, Stators
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
ID Code:28764
Deposited On:29 Sep 2017 08:06

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