Optimal Control of Grid-Interfacing Inverters With Current Magnitude Limits
Trager Joswig-Jones, Baosen Zhang

TL;DR
This paper develops a Lyapunov-based control method for grid-interfacing inverters that explicitly considers current magnitude limits, ensuring stability and improving performance over traditional saturation handling techniques.
Contribution
It introduces a nonlinear control framework with a Lyapunov stability condition for inverters with current limits, and learns a linear-feedback controller via offline sampling and SDP optimization.
Findings
The proposed method guarantees stability under current saturation constraints.
The learned controller outperforms existing control strategies.
The approach effectively handles nonlinear current limits in inverter control.
Abstract
Grid-interfacing inverters act as the interface between renewable resources and the electric grid, and have the potential to offer fast and programmable controls compared to synchronous generators. With this flexibility there has been significant research efforts into determining the best way to control these inverters. Inverters are limited in their maximum current output in order to protect semiconductor devices, presenting a nonlinear constraint that needs to be accounted for in their control algorithms. Existing approaches either simply saturate a controller that is designed for unconstrained systems, or assume small perturbations and linearize a saturated system. These approaches can lead to stability issues or limiting the control actions to be too conservative. In this paper, we directly focus on a nonlinear system that explicitly accounts for the saturation of the current…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMicrogrid Control and Optimization · Smart Grid Energy Management · Frequency Control in Power Systems
MethodsFocus
