Real‐time transmission switching with neural networks

The classical formulation of the transmission switching problem as a mixed-integer is intractable for large systems in real-time control settings. Several heuristics have been proposed past to speed up computation time, which only limits number switchable lines. In this paper, heuristic based on neural networks that provides almost instantaneous actions, are presented. findings shown case studies IEEE 118-bus test system, and results show robust out distribution data. Additionally, has significant computational savings while all other performance metrics like accuracy similar state-of-the-art machine learning methods switching.