Small-Signal Analysis of Grid-Forming Vector Current Control

Grid-Forming Vector Current Control (GFVCC) is a novel control strategy that enables gridconnected converters to provide stiff voltage regulation, inertia emulation, and power sharing. It enhances conventional Phase-Locked Loop (PLL)-based vector current control by incorporating a special PLL tuning strategy and virtual admittance, thus enabling the grid-forming functionalities. Although previous studies have validated its technical feasibility, further analysis of its behavior and its tuning are necessary. This work first develops a comprehensive Differential-Algebraic Equation (DAE) model of GFVCC in the dq-domain. Subsequently, the DAEs are numerically linearized to perform small-signal analysis and uncover additional properties. Our findings are established through modal and parameter sensitivity analysis in a single machine, infinite bus setup.

Institutions

Publication Details

Journal
Université de technologie de Compiègne
Published
2025-05-26
DOI
https://doi.org/10.34746/epe-0072
Primary Topic
Forest Ecology and Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Small-Signal Analysis of Grid-Forming Vector Current Control

Université de technologie de Compiègne
Forest Ecology and Biodiversity Studies
article

Small-Signal Analysis of Grid-Forming Vector Current Control

article en

Abstract

Grid-Forming Vector Current Control (GFVCC) is a novel control strategy that enables gridconnected converters to provide stiff voltage regulation, inertia emulation, and power sharing. It enhances conventional Phase-Locked Loop (PLL)-based vector current control by incorporating a special PLL tuning strategy and virtual admittance, thus enabling the grid-forming functionalities. Although previous studies have validated its technical feasibility, further analysis of its behavior and its tuning are necessary. This work first develops a comprehensive Differential-Algebraic Equation (DAE) model of GFVCC in the dq-domain. Subsequently, the DAEs are numerically linearized to perform small-signal analysis and uncover additional properties. Our findings are established through modal and parameter sensitivity analysis in a single machine, infinite bus setup.

Université de technologie de Compiègne
ABB (Switzerland) (CH)
Affordable and clean energy
Openalex Percentile: Top 48%
Forest Ecology and Biodiversity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.