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Rate-induced transitions and advanced takeoff in power systems
K S Suchithra1, E A Gopalakrishnan1, Elena Surovyatkina2
1Center for Computational Engineering & Networking (CEN), Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
Complex systems, including dynamic power systems, can fail due to abrupt state transitions. This study reveals that the rate of mechanical power input influences these transitions, enabling AI-based control strategies.
Area of Science:
- Engineering
- Complex Systems Dynamics
- Power Systems Analysis
Background:
- Complex systems in nature and engineering often fail due to abrupt shifts between stable states.
- Such state transitions are a critical failure mechanism in dynamic power systems.
- Understanding these transitions is key to preventing catastrophic failures.
Purpose of the Study:
- To investigate the transition from a stable to an unstable manifold in a theoretical power system model.
- To analyze the influence of rate-dependent mechanical power input on system stability.
- To identify critical transition rates and their dependence on initial conditions.
Main Methods:
- Numerical investigation of a theoretical power system model.
- Analysis of rate-dependent mechanical power input.
- Determination of the relationship between transition rate and initial system conditions.
Main Results:
- Early transitions to unstable states are dependent on the rate of mechanical input variation.
- A critical rate for these transitions was identified.
- The critical rate shows a dependency on the initial conditions of the power system.
Conclusions:
- The rate of mechanical input significantly impacts the timing of state transitions in power systems.
- Knowledge of the critical rate and its dependency on initial conditions is crucial for system stability.
- This understanding can inform the development of effective artificial intelligence (AI)-based control strategies for power systems.
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In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

