Comparative Analysis and Control Strategies of Direct and Indirect Matrix Converters for Efficient Grid-Connected Wind Energy Systems

Matrix converters (MCs) are gaining attention for their ability to enable direct AC-AC conversion in grid-connected wind energy systems without the need for bulky energy storage components. This paper presents a comparative analysis of Direct Matrix Converters (DMCs) and Indirect Matrix Converters (IMCs), emphasizing their control strategies, power quality, and efficiency. IMCs utilize a two-stage conversion process (AC-DC-AC), offering higher voltage transfer ratios and simplified modulation techniques, whereas DMCs perform single-stage conversion with reduced components, leading to lower switching losses. Various Sparse, Very Sparse, and Ultra Sparse Matrix Converter topologies are explored, highlighting their efficiency, control complexity, and grid integration capabilities. State-space control methods, combined with Space Vector Modulation (SVM) and Maximum Power Point Tracking (MPPT), are implemented to optimize power flow and ensure stable grid operation. Simulation results validate the effectiveness of these control strategies in maintaining power quality and reactive power management under varying wind conditions. The findings suggest that Very Sparse Matrix Converters (VSMCs) provide the highest efficiency (96-98%) and power density, making them ideal for large-scale wind farms. This study provides valuable insights into selecting suitable converter topologies and control techniques for enhancing the reliability and performance of wind energy systems connected to the electrical grid. DOI:https://doi.org/10.52783/pst.1705

Authors

Publication Details

Journal
Power System Technology
Published
2025-03-27
DOI
https://doi.org/10.52783/pst.1705
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

Comparative Analysis and Control Strategies of Direct and Indirect Matrix Converters for Efficient Grid-Connected Wind Energy Systems

S Sumathi Chetan Ghatage
Power System Technology
Microgrid Control and Optimization
article

Comparative Analysis and Control Strategies of Direct and Indirect Matrix Converters for Efficient Grid-Connected Wind Energy Systems

S Sumathi Chetan Ghatage
article en

Abstract

Matrix converters (MCs) are gaining attention for their ability to enable direct AC-AC conversion in grid-connected wind energy systems without the need for bulky energy storage components. This paper presents a comparative analysis of Direct Matrix Converters (DMCs) and Indirect Matrix Converters (IMCs), emphasizing their control strategies, power quality, and efficiency. IMCs utilize a two-stage conversion process (AC-DC-AC), offering higher voltage transfer ratios and simplified modulation techniques, whereas DMCs perform single-stage conversion with reduced components, leading to lower switching losses. Various Sparse, Very Sparse, and Ultra Sparse Matrix Converter topologies are explored, highlighting their efficiency, control complexity, and grid integration capabilities. State-space control methods, combined with Space Vector Modulation (SVM) and Maximum Power Point Tracking (MPPT), are implemented to optimize power flow and ensure stable grid operation. Simulation results validate the effectiveness of these control strategies in maintaining power quality and reactive power management under varying wind conditions. The findings suggest that Very Sparse Matrix Converters (VSMCs) provide the highest efficiency (96-98%) and power density, making them ideal for large-scale wind farms. This study provides valuable insights into selecting suitable converter topologies and control techniques for enhancing the reliability and performance of wind energy systems connected to the electrical grid. DOI:https://doi.org/10.52783/pst.1705

Power System TechnologyVol. 49(1)
Openalex Percentile: Top 94%
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.