Decentralized Adaptive Control With Virtual Inertia for Cascaded-Type VSGs

This paper presents a decentralized adaptive control for cascaded-type virtual synchronous generators (CVSGs) in microgrids. By leveraging a frequency correction term derived from the local power derivative, the virtual inertia is adaptively adjusted without relying on phase-locked loops (PLLs), enabling a fully communication-free implementation. Compared to the existing methods, the need for PLLs is eliminated. The main novelty of the proposed method is the integration of adaptive inertia, PLL-free control and decentralization. Next, the stability of the proposed controller is assessed using the Lyapunov energy function method. Finally, its performance is validated through MATLAB/Simulink simulation and experiments.

Authors

Institutions

Publication Details

Journal
IEEE Open Journal of Power Electronics
Published
2025-01-01
DOI
https://doi.org/10.1109/ojpel.2025.3580399
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decentralized Adaptive Control With Virtual Inertia for Cascaded-Type VSGs

Lang Li, Xiaochao Hou, Siqi Fu
IEEE Open Journal of Power Electronics
Power Systems and Renewable Energy
article

Decentralized Adaptive Control With Virtual Inertia for Cascaded-Type VSGs

Lang Li, Xiaochao Hou, Siqi Fu
article en

Abstract

This paper presents a decentralized adaptive control for cascaded-type virtual synchronous generators (CVSGs) in microgrids. By leveraging a frequency correction term derived from the local power derivative, the virtual inertia is adaptively adjusted without relying on phase-locked loops (PLLs), enabling a fully communication-free implementation. Compared to the existing methods, the need for PLLs is eliminated. The main novelty of the proposed method is the integration of adaptive inertia, PLL-free control and decentralization. Next, the stability of the proposed controller is assessed using the Lyapunov energy function method. Finally, its performance is validated through MATLAB/Simulink simulation and experiments.

IEEE Open Journal of Power ElectronicsVol. 6
Central South University (CN), Changsha University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 88%
Power Systems and Renewable Energy
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.