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arXiv · 2507.02325

Grid-Connected, Data-Driven Inverter Control, Theory to Hardware

Sebastian Graf·Keith Moffat·Anurag Mohapatra·Alessandro Chiuso·Florian Dörfler
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Abstract

Grid-connected inverter control is challenging to implement due to the difficulty of obtaining and maintaining an accurate grid model. Direct Data-Driven Predictive Control provides a model-free alternative to traditional model-based control methods. This paper describes how the recently-proposed Transient Predictive Control (TPC) can be used for real-world, plug-and-play inverter control. The following hypotheses were tested: 1) The TPC algorithm can be run online using standard hardware, and 2) TPC, which is derived using Linear Time-Invariant assumptions, is effective for grid-connected inverter control, which is a nonlinear and time-varying system. Experiments conducted on a two-converter benchtop setup and at the CoSES Laboratory on a 25 kVA converter connected to the Munich grid support these hypotheses.

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Sebastian Graf, Keith Moffat, Anurag Mohapatra, Alessandro Chiuso, Florian Dörfler. 2025-07-03. Grid-Connected, Data-Driven Inverter Control, Theory to Hardware. https://arxiv.org/abs/2507.02325

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