Cascaded adaptive control for grid-forming inverters and model-free microgrid synchronization

• Adaptive cascaded control applied to grid-forming inverter. • Voltage direct-tracking using a model reference adaptive controller. • Controller validated through extensive tests with wide parameter variations. • Comparison between adaptive and fixed-gain control techniques. • Model-free adaptive control applied to microgrid synchronization. This paper presents a cascaded adaptive control strategy for the inner loop of a grid-forming inverter. The control structure combines an inner proportional regulator for current limiting with an outer Model Reference Adaptive Controller (MRAC) for voltage regulation, tracking references from the primary control layer. The primary control utilizes a droop mechanism with virtual impedance to enhance active and reactive power decoupling. For grid-reconnection scenarios, the secondary control implements an adaptive proportional-integral-derivative (PID) controller in the synchronization loop, effectively compensating for non-deterministic communication delays while maintaining a simple design framework. The control system is validated through hardware-in-the-loop (HIL) simulations, evaluating five critical scenarios: steady-state operation (islanded and grid-connected), reconnection transients, unplanned islanding, and a microgrid fault. A comparative analysis with a fixed-gain controller demonstrates the superior performance of the proposed adaptive approach in managing uncertainties and dynamic grid conditions, with consistent improvements across all scenarios and error reductions of up to 90% in key performance indices.

Authors

Institutions

Publication Details

Journal
Control Engineering Practice
Published
2026-03-14
DOI
https://doi.org/10.1016/j.conengprac.2026.106900
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

Cascaded adaptive control for grid-forming inverters and model-free microgrid synchronization

Paulo Jefferson Dias de Oliveira Evald, Vladimir Carli, Guilherme Vieira Hollweg, André Pacheco Meurer et al.
Control Engineering Practice
Microgrid Control and Optimization
article

Cascaded adaptive control for grid-forming inverters and model-free microgrid synchronization

Paulo Jefferson Dias de Oliveira Evald, Vladimir Carli, Guilherme Vieira Hollweg, André Pacheco Meurer, VINICIUS FOLETTO MONTAGNER, Rodrigo Varella Tambara
article en

Abstract

• Adaptive cascaded control applied to grid-forming inverter. • Voltage direct-tracking using a model reference adaptive controller. • Controller validated through extensive tests with wide parameter variations. • Comparison between adaptive and fixed-gain control techniques. • Model-free adaptive control applied to microgrid synchronization. This paper presents a cascaded adaptive control strategy for the inner loop of a grid-forming inverter. The control structure combines an inner proportional regulator for current limiting with an outer Model Reference Adaptive Controller (MRAC) for voltage regulation, tracking references from the primary control layer. The primary control utilizes a droop mechanism with virtual impedance to enhance active and reactive power decoupling. For grid-reconnection scenarios, the secondary control implements an adaptive proportional-integral-derivative (PID) controller in the synchronization loop, effectively compensating for non-deterministic communication delays while maintaining a simple design framework. The control system is validated through hardware-in-the-loop (HIL) simulations, evaluating five critical scenarios: steady-state operation (islanded and grid-connected), reconnection transients, unplanned islanding, and a microgrid fault. A comparative analysis with a fixed-gain controller demonstrates the superior performance of the proposed adaptive approach in managing uncertainties and dynamic grid conditions, with consistent improvements across all scenarios and error reductions of up to 90% in key performance indices.

Control Engineering PracticeVol. 172
Universidade Federal de Pelotas (BR), Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (BR), Universidade Federal de Santa Maria (BR), University of Michigan–Dearborn (US), Instituto Federal Farroupilha (BR)
Affordable and clean energy
Openalex Percentile: Top 22%
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.