Speed-up the computing efficiency of power system simulator for engineering-based power system transient stability simulations

Power system simulator for engineering (PSS/E) has gained great success in power energy industry for its powerful simulation and analysis functions. Along with market deregulation, power system planning and stability analysis warrants more effective and faster techniques owing to the ever-expanding large-scale interconnection of power networks. Running large-scale system multiple case studies on PSS/E can be computationally very expensive and in some cases, simplifications have to be made in order to obtain some results. PSS/E dynamic simulations are accelerated with EnFuzion-based distributed computing method in this study. This approach is proved to be effective by testing with 39-bus New England power system under `N-1`, `N-2` and `N-1-1` contingencies analysis, and re-dispatch after disturbance with optimal power flow. The results show that the simulation process can be speeded up dramatically and the total elapsed time can be reduced proportionally with the increase of computer nodes.