RT23 | Efficient p-q Theory-based Load Modelling for Real-Time Simulations

In the Energy Lab 2.0 at Karlsruhe Institute of Technology, OPAL-RT real-time simulators and software are used for large network simulations and Power Hardware-in-the-Loop (PHIL) studies. Conducting large network real-time simulations with the available real-time computational resources and performing PHIL studies have challenges. One of the challenges in performing large network real-time simulations is the CPU computational burden. The CPU computation burden of the network can be resolved by 1) increasing the number of CPUs, 2) increasing the time-step of the simulation, 3) reducing the detailed blocks and replacing it with average blocks, or 4) Optimizing the computational burden blocks with light mathematical models. In this presentation, we discuss a new approach to develop a dynamic load model using instantaneous p-q theory to reduce computational burden blocks compared to Simulink dynamic block. The p-q theory-based load is an exponential dynamic load model developed based on a mathematical approach, which can be used for large network real-time simulations. The p-q theory-based load model is tested on SimBench semi-urban medium voltage network and IEEE-118 bus network in a real-time environment using OP5700 real-time simulator. The developed p-q theory-based load model significantly improves computational capability compared to Simulink dynamic load.