Interarea Oscillations & Chimera in Power Systems
Pratik K. Bajaria, Sushama R. Wagh, Navdeep M. Singh

TL;DR
This paper introduces a new second order Kuramoto-based model to simulate low frequency oscillations in power systems, providing insights into complex dynamics, blackouts, and chimera states, verified on a four-generator network.
Contribution
A novel second order Kuramoto model for power system oscillations that captures complex dynamics and chimera states, advancing understanding beyond traditional small-signal analysis.
Findings
Model successfully simulates low frequency oscillations.
Emulates chimera behavior related to blackouts.
Provides bifurcation analysis of power system dynamics.
Abstract
This paper proposes a novel second order mathematical model in the Kuramoto framework to simulate and study low frequency oscillations in power systems. This model facilitates better understanding of the complex dynamics of a power network. A standard four generator power system with all-to-all connectivity is considered and results obtained from the proposed model are verified. It is shown, that the model simulates various properties related to low frequency oscillations in power systems which presently are obtained through small-signal analysis. Further, we provide analogy to blackouts in a power grid, by emulating chimera behavior and thereby discuss bifurcation analysis of the proposed model.
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Power Systems and Renewable Energy · Microgrid Control and Optimization
