PROJECT TITLE :

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

ABSTRACT:

Native and inter-area oscillations in bulk power systems are usually identified using spatial profiles of poorly damped modes, and they are mitigated via carefully tuned decentralized controllers. During this paper, we employ non-modal tools to investigate and management 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 standard wide-area control methods, we tend to conjointly study the problem of signal choice and optimal style of sparse and block-sparse wide-space controllers. In our design, we preserve rotational symmetry of the power system by permitting solely relative angle measurements within the distributed controllers. For the IEEE thirty-nine New England model, we tend to examine performance tradeoffs and robustness of various management architectures and show that optimal retuning of totally-decentralized control strategies can effectively guard against native and inter-space oscillations.