A Scalable Multi-Timescale T&D Co-Simulation Framework using HELICS

Abstract

The power grid is fast changing with the integration of various distributed energy resources (DERs) and it is becoming imperative to model and include these in a correct method. Transmission and Distribution (T &D) co-simulation is an effective tool to accurately consider the DERs and account for the changing power grid for various power system planning and operational studies. We have developed a T&D co-simulation framework with commercial transmission system solvers like PSS/E that can handle largescale transmission networks, and accurate distribution system solver (GridLAB-D) that can model the distribution systems down to the house level and behind-the-meter DERs. PSS/E and GridLAB-D are combined using HELICS environment and are driven using Python to enable multi-timescale T&D co-simulation. This framework is scalable and parallel computing compatible that will enable large-scale system simulations. This framework will enable adoption of T&D co-simulation methodology by the industry and utilities. The scalable multi-timescale T&D co-simulation framework will be instrumental to enable faster integration of DERs by making the various planning and operational studies more accurate.