Grid-forming control of three-phase and single-phase converters across unbalanced transmission and distribution systems
Shahin S. Nudehi, Dominic Gro{\ss}

TL;DR
This paper develops a comprehensive analytical framework for grid-forming control of mixed three-phase and single-phase converters in unbalanced power systems, ensuring stability and self-balancing through novel feedback mechanisms.
Contribution
It introduces a quasi-steady-state network model and provides new stability conditions for converters, including self-synchronization and phase-balancing strategies, across transmission and distribution systems.
Findings
Single-phase converters can self-synchronize to a balanced state.
Phase-balancing feedback improves stability and reduces unbalance.
Case studies validate the analytical conditions on IEEE test systems.
Abstract
In this work, we investigate grid-forming control for power systems containing three-phase and single-phase converters connected to unbalanced distribution and transmission networks, investigate self-balancing between single-phase converters, and propose a novel balancing feedback for grid-forming control that explicitly allows to trade-off unbalances in voltage and power. We develop a quasi-steady-state power network model that allows to analyze the interactions between three-phase and single-phase power converters across transmission, distribution, and standard transformer interconnections. We first investigate conditions under which this general network admits a well-posed kron-reduced quasi-steady-state network model. Our main contribution leverages this reduced-order model to develop analytical conditions for stability of the overall network with grid-forming three-phase and…
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMicrogrid Control and Optimization · Nonlinear Dynamics and Pattern Formation · Smart Grid Energy Management
