Per-Unit Impedance Modeling and Configurable Decentralized Stability Conditions for Multi-Parallel GFM Inverter Systems

This article enhances impedance-based modeling generality and stability assessment flexibility for multi-parallel GFM inverters by proposing a unified perunit scaling method and a configurable decentralized stability condition based on passivity theory.

Authors

Institutions

Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/pedg62294.2025.11060095
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Per-Unit Impedance Modeling and Configurable Decentralized Stability Conditions for Multi-Parallel GFM Inverter Systems

Xiongfei Wang, Liang Zhao, Jarno Kukkola, Mikko Routimo et al.
Microgrid Control and Optimization
article

Per-Unit Impedance Modeling and Configurable Decentralized Stability Conditions for Multi-Parallel GFM Inverter Systems

Xiongfei Wang, Liang Zhao, Jarno Kukkola, Mikko Routimo, Xiaonan Gao, Lennart Harnefors, Feifan Chen
article en

Abstract

This article enhances impedance-based modeling generality and stability assessment flexibility for multi-parallel GFM inverters by proposing a unified perunit scaling method and a configurable decentralized stability condition based on passivity theory.

Northwestern Polytechnical University (CN), ABB (Finland) (FI), KTH Royal Institute of Technology (SE)
Affordable and clean energy
Openalex Percentile: Top 81%
Microgrid Control and Optimization
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.