Application of model order reduction techniques for efficient EMT simulation of large converter-interfaced power systems

The widespread use of renewable energy sources requires inverters to connect to the grid for enhanced control and operational flexibilities of the system. However, these “inverter-based resources” (IBRs) can sometimes cause unstable interactions with the grid which necessitate prior detailed simulation studies. Detailed Electro-Magnetic Transient (EMT) simulations are essential for these IBRs due to their higher controller bandwidth. The main challenge with EMT simulations is their high computational burden. A practical solution is to model in detail only an “area of interest” and use an equivalent model for the rest of the network. However, this can lead to computational inefficiency and inaccuracies. This project investigates the applicability of suitable model-order reduction techniques to create accurate, stable, and computationally efficient reduced-order models. The process will be automated and implemented in an EMT program like PSCAD.

Faculty Supervisor:

Aniruddha M. Gole

Student:

Partner:

Electranix Corporation

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program: