Abstract
Power system stability is one of the major concerns raised as the power grid is modernized with the recent technological advancements to achieve a smarter and more resilient grid. With the increase in the size of the grid, the requirement of maintaining synchronism among the various components and controllability is a major challenge. Recent research in time-parallel algorithms has paved enormous opportunities for real-time power system analysis. Transient Stability Analysis (TSA) of a power grid involves solving a large set of time-dependent Ordinary Differential Equations (ODEs) and algebraic equations which makes it infeasible for a real-time solution. This poster discusses an approach for feasible near real-time solution of ODEs using Parareal Algorithm (PA). PA implementation using general purpose graphical processing units (GPGPU) based high-performance computing (HPC) is demonstrated for a Single Machine Infinite Bus (SMIB) power system model achieving a speedup of 73x substantiates the potential for near real-time TSA.
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