Dynamic Response of Droop-Controlled Grid-Forming Inverters Under Varying Grid Impedances for Enhanced Stability in Microgrids
Source abstract
Abstract
The fast-growing integration of renewable energy sources into the utility grids jeopardizes the system’s performance and stability at risk. Particularly, the increasing tendency of power electronics converters in the current renewables-based power generation and their integration to utility grids through long sub-sea cables compromises the grid strength and amplifies the risk of system instability during disturbances. To sustain grid stability and ensure effective regulation during transients, grid-following (GFL) and grid-forming (GFM) control approaches have been extensively proposed for power systems with inverter-based resources (IBRs). The former approach is solely based on a phase-locked loop (PLL) to track the phase angle of grid voltage, which reduces the system stability margin, particularly in weak-grid scenarios. Consequently, grid-forming control is increasingly recognized for its ability to maintain stability and ensure reliable operation under weak-grid conditions. Droop control is one of the most widely used grid-forming control strategies owing to its capability to emulate the behavior of synchronous machines, achieve autonomous power sharing, and ensure stable voltage and frequency regulation even under varying grid conditions. This paper aims to evaluate the impact of grid impedance and its characteristics (i.e., resistive or inductive grid impedance) on the dynamic performance of a droop control GFM grid-connected converter. To that end, first, a detailed MATLAB/Simulink model of a voltage source converter implementing the proposed droop-based GFM control is developed. Then, the overall system will be validated by performing on distinct case studies including weak and stiff power grids with inductive, resistive and nonlinear impedances in response to various grid disturbances.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Microgrid Control and Optimization · HVDC Systems and Fault Protection · Islanding Detection in Power Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg, Denmark
US Research & Development, sonnen Inc., InnovationHub, Stone Mountain, GA 30083, USA
Funding
Danida Fellowship Centre · Higher Education Commission (HEC) Pakistan
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