Input-Output Analysis and Decentralized Optimal Control of Inter-Area Oscillations in Power Systems

Local and inter-area oscillations in bulk power systems are typically identified using spatial profiles of poorly damped modes, and they are mitigated via carefully tuned decentralized controllers. In this paper, we employ non-modal tools to analyze and control inter-area oscillations. Our input-out...

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Bibliographic Details
Published in:IEEE transactions on power systems 2016-05, Vol.31 (3), p.2434-2444
Main Authors: Xiaofan Wu, Dorfler, Florian, Jovanovic, Mihailo R.
Format: Article
Language:English
Subjects:
Generators
Input-output analysis
inter-area oscillations
Mathematical model
Optimal control
Oscillators
Power system dynamics
Rotors
sparsity-promoting optimal control
wide-area control
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Summary:Local and inter-area oscillations in bulk power systems are typically identified using spatial profiles of poorly damped modes, and they are mitigated via carefully tuned decentralized controllers. In this paper, we employ non-modal tools to analyze and control inter-area oscillations. Our input-output analysis examines power spectral density and variance amplification of stochastically forced systems and offers new insights relative to modal approaches. To improve upon the limitations of conventional wide-area control strategies, we also study the problem of signal selection and optimal design of sparse and block-sparse wide-area controllers. In our design, we preserve rotational symmetry of the power system by allowing only relative angle measurements in the distributed controllers. For the IEEE 39 New England model, we examine performance tradeoffs and robustness of different control architectures and show that optimal retuning of fully-decentralized control strategies can effectively guard against local and inter-area oscillations.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2015.2451592