A Proportional-Integral Model for Fractional Voltage Tripping of Distributed Energy Resources
Milos Katanic, Gregor Verbic, John Lygeros, Gabriela Hug
TL;DR
The paper addresses the challenge of predicting DER disconnections during voltage disturbances in grids with high DER penetration. It introduces a gray-box PI fractional tripping block with seven undervoltage and seven overvoltage parameters, fitted via optimization to aggregated DER ride-through behavior and evaluated against the DER_A baseline using synthetic, VRT-aware data. The PI block achieves substantially higher accuracy in both in-sample and out-of-sample tests, demonstrating strong generalization and grid-code sensitivity. This approach offers a simple, interpretable, and scalable tool for dynamic security assessment and planning in modern distribution networks with heterogeneous DER fleets.
Abstract
In regions with high shares of distributed energy resources (DERs), massive disconnection of small-scale DERs in low-voltage distribution grids during disturbances poses a serious threat to power system security. However, modeling this effect in a computationally efficient way remains challenging. This paper proposes a novel proportional-integral aggregate model for predicting the fraction of tripped DERs based on the voltage at the substation connection point. The model effectively captures the cumulative behavior of the system, is simple to implement, and includes seven parameters for undervoltage tripping and seven for overvoltage tripping behavior, each with a distinct physical meaning. We further propose an optimization-based approach to tune the model parameters. Simulation results show significantly more accurate predictions compared to the DER\_A model -- a standard dynamic model for aggregate DER behavior -- even when the latter is optimized, with only a minor increase in model complexity.
