Suitability of Quantized DEVS LIM Methods for Simulation of Power Systems

TL;DR

This paper evaluates the QDL method, combining Quantized State Systems and LIM, for power system simulation, highlighting its efficiency in steady-state and challenges during large disturbances, with suggestions for improvements.

Contribution

It introduces and assesses the QDL method for power system simulation, identifying its advantages and limitations, and proposing directions for future research.

Findings

High efficiency in steady-state simulations.

Challenges with large disturbances and limit cycles.

Potential improvements for fault analysis applications.

Abstract

The suitability of the QDL method for analyzing the performance of ac power systems has been evaluated by application to a microgrid. The QDL method is based on a combination of Quantized State Systems (QSS) methods and the Latency Insertion Method (LIM). The accuracy and computational intensity of QDL simulations were evaluated relative to an industry-standard reference method. The key advantages expected of the QDL approach -- including high computational efficiency when the system is operating in steady-state and, when not in steady-state, the need to update only those states that have been affected by quantum level changes of connected states. The expected advantages were largely realized, but with some complications that remain unresolved and require further research such as limit cycle oscillations that emerge in some states after disturbances that should have returned to stationarity. Also, the method in its current state may not be feasible for fault analysis because of the low computational efficiency that results when large disturbances (e.g. faults) create large excursions simultaneously in many system states. The relative strengths and weaknesses of the method are discussed, and some improvements to the method are proposed to overcome the weaknesses. The revelation of observed problems is intended to inspire additional research to overcome those problems.