Grid-Forming Characterization in DC Microgrids

TL;DR

This paper introduces impedance-based indices to classify and evaluate converter control strategies in DC microgrids, addressing a key gap in understanding grid-forming behavior.

Contribution

It proposes a novel impedance-based framework for analyzing and comparing converter control algorithms in DC microgrids, including the grid-forming versus grid-following distinction.

Findings

The indices effectively quantify voltage-forming and current-forming behaviors.

Simulation results demonstrate the framework's ability to evaluate different control strategies.

The approach highlights strengths and limitations of existing algorithms.

Abstract

DC microgrids are converter-based electrical networks that are increasingly being used in various applications, including data centers and industrial distribution systems. A central challenge in their operation is maintaining the DC-bus voltage within predefined limits while ensuring overall system stability. Although a wide variety of converter control algorithms has been proposed to achieve these objectives, the literature lacks a clear and physically interpretable framework for evaluating their effectiveness and for classifying and comparing them. Moreover, the grid-forming versus grid-following distinction that exists in AC systems has largely been unexplored in DC microgrids. To address this gap, this paper introduces three novel impedance-based indices that can be used to quantify the voltage-forming and current-forming behavior of a converter. The indices also provide a basis for defining the desired converter behavior that yields superior DC-bus voltage regulation performance. Simulation results illustrate the application of the framework to several representative control strategies and highlight the strengths and limitations of these control algorithms.