Adaptive Droop Control for Stability Enhancement in Islanded DC Microgrids with CPLs

Modern DC Microgrids (DC-MGs) typically comprise renewable generation units, batteries, and loads interconnected via power converters. Loads with stiffly regulated converters may behave as Constant Power Loads (CPLs) and exhibit negative incremental impedance, which can decrease the system’s damping capability and increase the risk of instability. To address this issue, droop gains can offer a proper potential to enhance the grid’s dynamic behavior. Thus, this paper proposes a decentralized droop-based algorithm to adjust the droop gains adaptively to not only provide good voltage regulation and accurate current sharing among units but also sustain the grid far from the instability margin. To this end, the droop gains’ upper bound necessitated to ensure stable operation will be determined, considering the in-service CPLs. Then, based on this upper bound, the droop gain for each unit can be obtained. The stability of the DC-MG is analyzed by computing the system’s eigenvalues using a small-signal analysis. The effectiveness of the proposed approach has been evaluated through simulation scenarios using MATLAB<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup>/Simulink.

Authors

Institutions

Publication Details

Published
2025-06-29
DOI
https://doi.org/10.1109/powertech59965.2025.11180514
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adaptive Droop Control for Stability Enhancement in Islanded DC Microgrids with CPLs

Sérgio Bruno, Massimo La Scala, Mohammad Rajabi Nasab, Marco Liserre
1 citations
Microgrid Control and Optimization
1.21
article

Adaptive Droop Control for Stability Enhancement in Islanded DC Microgrids with CPLs

Sérgio Bruno, Massimo La Scala, Mohammad Rajabi Nasab, Marco Liserre
article en
1 citations

Abstract

Modern DC Microgrids (DC-MGs) typically comprise renewable generation units, batteries, and loads interconnected via power converters. Loads with stiffly regulated converters may behave as Constant Power Loads (CPLs) and exhibit negative incremental impedance, which can decrease the system’s damping capability and increase the risk of instability. To address this issue, droop gains can offer a proper potential to enhance the grid’s dynamic behavior. Thus, this paper proposes a decentralized droop-based algorithm to adjust the droop gains adaptively to not only provide good voltage regulation and accurate current sharing among units but also sustain the grid far from the instability margin. To this end, the droop gains’ upper bound necessitated to ensure stable operation will be determined, considering the in-service CPLs. Then, based on this upper bound, the droop gain for each unit can be obtained. The stability of the DC-MG is analyzed by computing the system’s eigenvalues using a small-signal analysis. The effectiveness of the proposed approach has been evaluated through simulation scenarios using MATLAB<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup>/Simulink.

Christian-Albrechts-Universität zu Kiel (DE), Polytechnic University of Bari (IT)
Openalex Percentile: Top 16%
Microgrid Control and Optimization
1.21
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.