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Power system controllability through nontraditional generation

Authors: Felipe Wilches-Bernal; Christoph Lackner; Joe H. Chow;

Power system controllability through nontraditional generation

Abstract

Power system electromechanical oscillation dynamics can be described using second-order consensus dynamics. The synchronizing torques that hold the machines together are determined by the Laplacian matrix of the consensus dynamics. This paper develops a framework to investigate the effect of connecting nontraditional generation (NTG), in the form of active and reactive current injection, on the consensus dynamics of a 2-machine power system. The damping of inter-area oscillations power systems control problem is investigated for the linear model of a two-area test power system using reactive as well as active current injection. The control design is based on solving a LQR control problem. Results show that it is possible to control the power system dynamics through the use of nontraditional current injection. The relative effectiveness of the active and reactive components of the current injection is investigated, and the impact of the location of the injection is studied.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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