One of the most common causes of failures in complex systems in nature or engineering is an abrupt transition from a stable to an alternate stable state. Such transitions cause failures in the dynamic power systems. We focus on this transition from a stable to an unstable manifold for a rate-dependent mechanical power input via a numerical investigation in a theoretical power system model. Our studies uncover early transitions that depend on the rate of variation of mechanical input. Furthermore, we determine the dependency of a critical rate on initial conditions of the system. Accordingly, this knowledge of the critical rate can be used in devising an effective control strategy based on artificial intelligence (AI).
K. S. Suchithra, Dr. E. A. Gopalakrishnan, Surovyatkina, E., and Kurths, J., “Rate-induced transitions and advanced takeoff in power systems”, Chaos: An Interdisciplinary Journal of Nonlinear ScienceChaos: An Interdisciplinary Journal of Nonlinear Science, vol. 30, no. 6, p. 061103, 2020.