A Waveform Relaxation Approach for Coupling Faster and Slower Time Domain Simulation in Inverter-Dominated Power grids
Ali, Muhammad Hamza
Ali, Muhammad Hamza
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Abstract
Inverter-dominated power systems exhibit dynamics across widely separated time scales, where fast inverter control loops interact with slower electromechanical and network phenomena. Capturing both behaviors in a single simulation framework remains challenging because fast transients require very small time steps, while large-scale grid studies demand computational efficiency. This work explores a waveform relaxation (WR) approach for coupling faster and slower time-domain simulations in power grids with inverter-based resources. The system is modeled as a differential-algebraic equation that combines a positive-sequence transmission network with detailed grid-following inverter dynamics, including the PLL, power controller, and current controller. The proposed framework decomposes the system into fast and slow subsystems, solves them iteratively over time windows, and exchanges waveform information until convergence. Preliminary observations show that coarse-step simulations can capture the overall response envelope but miss fast inverter-driven transients, highlighting the need for multirate dynamic simulation tools. Ongoing work evaluates the convergence properties, accuracy, and computational efficiency of the proposed WR framework for future inverter-dominated power systems.
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Date
01/01/2026
Student Status
Graduate Student
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Poster
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Electrical Engineering
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College of Engineering and Mathematical Sciences
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Engineering