Selective Power Control in Grid-Connected AC Microgrids

The increasing penetration of non-linear loads (NLLs) and distributed energy resources (DERs) in low-voltage grids presents significant challenges to power quality and grid hosting capacity (GHC). This paper proposes a centralized multi-mode selective power control strategy for grid-connected AC microgrids (MGs), requiring no prior knowledge of MG parameters. The strategy enhances GHC and power quality at multiple MG nodes through coordinated control. The proposed approach includes two non-simultaneous operation modes. The centralized mode enables multi-frequency power dispatch via a generalized power-based control (GPBC) algorithm, which extends the formulation of the power-based control strategy. It enables selective harmonic/distortion power control, improved disturbance rejection, and more accurate point of common coupling (PCC) power tracking. For the first time, feedback (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$F$</tex-math></inline-formula>), feedforward (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$f$</tex-math></inline-formula>), and disturbance decoupling (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$D$</tex-math></inline-formula>) actions are applied to distortion/harmonic power in MGs. The decentralized mode avoids the need for communication links in harmonic current compensation (HCC), reducing data traffic. Control is achieved by a primary-level selective decentralized voltage-detection-based HCC (VDB-HCC) method. The strategy allows for: resistive load synthesis at the MG PCC to damp upstream grid resonances, sinusoidal current synthesis to enhance current quality and meet power quality standards, and HCC based on voltage measurements to improve voltage quality at internal MG nodes. Comprehensive simulations assess power reference tracking, disturbance rejection, the effect of grid short circuit level, and mode transitions. In decentralized mode, the MG control improved PCC voltage THD from 10.65% to 1.09% under weak grids. In centralized mode, using sinusoidal current synthesis up to the 11th harmonic, PCC current THD was reduced from 61.18% to 3.42% under stiff grids. Experimental results are also evaluated to demonstrate the feasibility of implementation in real-field MG applications.

Authors

Institutions

Publication Details

Journal
IEEE Open Journal of the Industrial Electronics Society
Published
2025-01-01
DOI
https://doi.org/10.1109/ojies.2025.3575020
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

Selective Power Control in Grid-Connected AC Microgrids

João Marcus S. Callegari, Lucas S. Araújo, Danilo I. Brandão
1 citations
IEEE Open Journal of the Industrial Electronics Society
Microgrid Control and Optimization
1.21
article

Selective Power Control in Grid-Connected AC Microgrids

João Marcus S. Callegari, Lucas S. Araújo, Danilo I. Brandão
article en
1 citations

Abstract

The increasing penetration of non-linear loads (NLLs) and distributed energy resources (DERs) in low-voltage grids presents significant challenges to power quality and grid hosting capacity (GHC). This paper proposes a centralized multi-mode selective power control strategy for grid-connected AC microgrids (MGs), requiring no prior knowledge of MG parameters. The strategy enhances GHC and power quality at multiple MG nodes through coordinated control. The proposed approach includes two non-simultaneous operation modes. The centralized mode enables multi-frequency power dispatch via a generalized power-based control (GPBC) algorithm, which extends the formulation of the power-based control strategy. It enables selective harmonic/distortion power control, improved disturbance rejection, and more accurate point of common coupling (PCC) power tracking. For the first time, feedback (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$F$</tex-math></inline-formula>), feedforward (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$f$</tex-math></inline-formula>), and disturbance decoupling (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$D$</tex-math></inline-formula>) actions are applied to distortion/harmonic power in MGs. The decentralized mode avoids the need for communication links in harmonic current compensation (HCC), reducing data traffic. Control is achieved by a primary-level selective decentralized voltage-detection-based HCC (VDB-HCC) method. The strategy allows for: resistive load synthesis at the MG PCC to damp upstream grid resonances, sinusoidal current synthesis to enhance current quality and meet power quality standards, and HCC based on voltage measurements to improve voltage quality at internal MG nodes. Comprehensive simulations assess power reference tracking, disturbance rejection, the effect of grid short circuit level, and mode transitions. In decentralized mode, the MG control improved PCC voltage THD from 10.65% to 1.09% under weak grids. In centralized mode, using sinusoidal current synthesis up to the 11th harmonic, PCC current THD was reduced from 61.18% to 3.42% under stiff grids. Experimental results are also evaluated to demonstrate the feasibility of implementation in real-field MG applications.

IEEE Open Journal of the Industrial Electronics SocietyVol. 6
Universidade Federal de Minas Gerais (BR), SINTEF (NO)
Affordable and clean energy
Openalex Percentile: Top 21%
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.