Enhanced Bus Voltage Stability through Digital Twin-Enabled Adaptive Controller Tuning

In this paper, a digital twin approach for adaptive controller tuning is presented. For an anticipated load profile, step transitions are fed into a simulation-based optimizer which utilizes a state-space averaged model to determine optimal control parameters for the future operating point after the next upcoming load step. This process aims to minimize voltage overshoot, settling time, and oscillation. Control parameters are adjusted preemptively before each load step by the simulation-based optimizer and subsequently validated through a comprehensive switching model simulation. This guarantees good dynamic performance throughout the load profile. Experimental results are provided for a simple example involving a two-loop PI controlled bidirectional DC/DC converter connected to a pulse load. Compared to the static PI controller, the digital twin tuning approach reduced voltage overshoot by ~50% and settling time by ~50% for the single converter. Simulation results are presented for a multi-converter system with a complex load profile, showing significant improvement, with up to 96% improvement in voltage settling time and up to 95% improvement in voltage overshoot.

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Publication Details

Published
2025-03-16
DOI
https://doi.org/10.1109/apec48143.2025.10977085
Citations
1
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
1.21

Funders

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article

Enhanced Bus Voltage Stability through Digital Twin-Enabled Adaptive Controller Tuning

M. Bélanger, Kerry Sado, Enrico Santi, Andy Wong
1 citations
Real-time simulation and control systems
1.21
article

Enhanced Bus Voltage Stability through Digital Twin-Enabled Adaptive Controller Tuning

M. Bélanger, Kerry Sado, Enrico Santi, Andy Wong
article en
1 citations

Abstract

In this paper, a digital twin approach for adaptive controller tuning is presented. For an anticipated load profile, step transitions are fed into a simulation-based optimizer which utilizes a state-space averaged model to determine optimal control parameters for the future operating point after the next upcoming load step. This process aims to minimize voltage overshoot, settling time, and oscillation. Control parameters are adjusted preemptively before each load step by the simulation-based optimizer and subsequently validated through a comprehensive switching model simulation. This guarantees good dynamic performance throughout the load profile. Experimental results are provided for a simple example involving a two-loop PI controlled bidirectional DC/DC converter connected to a pulse load. Compared to the static PI controller, the digital twin tuning approach reduced voltage overshoot by ~50% and settling time by ~50% for the single converter. Simulation results are presented for a multi-converter system with a complex load profile, showing significant improvement, with up to 96% improvement in voltage settling time and up to 95% improvement in voltage overshoot.

University of South Carolina (US)
Office of Naval Research
Affordable and clean energy
Openalex Percentile: Top 22%
Real-time simulation and control systems
1.21
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Enhanced Bus Voltage Stability through Digital Twin-Enabled Adaptive Controller Tuning — M. Bélanger, Kerry Sado, et al. · (2025) | TGRS Research Map | TGRS