Modular Multilevel Converter based Grid connected DC Microgrid Integrating Wind Energy

The global adoption of energy storage systems and wind energy conversion systems has expanded significantly in recent years. In this context, this paper discusses the enhanced operation and control of a DC microgrid system, which integrate AC grid, wind energy conversion system, battery storage system, and DC load. An enhanced Modular Multilevel Converter (MMC) is utilized for efficient AC to DC conversion for AC grid and wind energy system, while a Sensing and Balancing Control strategy already proposed by the authors ensures capacitor voltage balancing, contributing to DC voltage stability within the microgrid. The battery storage system system integrates a Bidirectional DC-DC Converter (BDC) to ensure consistent voltage output in both buck and boost modes, making it adaptable to varying load requirements. The performance of proposed DC microgrid system is compared with identical system using MMC with conventional capacitor voltage balancing technique. The effectiveness of MMC and its control algorithms in maintaining a stable DC bus link voltage has been analyzed using MATLAB/Simulink simulations. A detailed comparison of Total Harmonic Distortion (THD), DC bus voltage, and battery voltage has been conducted to evaluate the system's performance. The results demonstrate significant improvements in voltage stability and harmonic reduction, highlighting the efficiency of the control strategy. Additionally, the analysis reveals a consistent performance of MMC, ensuring reliable operation of the DC microgrid. Key advantages of the proposed system include high efficiency, modularity, stability and scalability, making it suitable for modern energy storage and grid integration applications.

Authors

Institutions

Publication Details

Published
2025-04-03
DOI
https://doi.org/10.1109/ictest64710.2025.11042628
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

Modular Multilevel Converter based Grid connected DC Microgrid Integrating Wind Energy

Mariamma Chacko, Lekshmi Babu
Microgrid Control and Optimization
article

Modular Multilevel Converter based Grid connected DC Microgrid Integrating Wind Energy

Mariamma Chacko, Lekshmi Babu
article en

Abstract

The global adoption of energy storage systems and wind energy conversion systems has expanded significantly in recent years. In this context, this paper discusses the enhanced operation and control of a DC microgrid system, which integrate AC grid, wind energy conversion system, battery storage system, and DC load. An enhanced Modular Multilevel Converter (MMC) is utilized for efficient AC to DC conversion for AC grid and wind energy system, while a Sensing and Balancing Control strategy already proposed by the authors ensures capacitor voltage balancing, contributing to DC voltage stability within the microgrid. The battery storage system system integrates a Bidirectional DC-DC Converter (BDC) to ensure consistent voltage output in both buck and boost modes, making it adaptable to varying load requirements. The performance of proposed DC microgrid system is compared with identical system using MMC with conventional capacitor voltage balancing technique. The effectiveness of MMC and its control algorithms in maintaining a stable DC bus link voltage has been analyzed using MATLAB/Simulink simulations. A detailed comparison of Total Harmonic Distortion (THD), DC bus voltage, and battery voltage has been conducted to evaluate the system's performance. The results demonstrate significant improvements in voltage stability and harmonic reduction, highlighting the efficiency of the control strategy. Additionally, the analysis reveals a consistent performance of MMC, ensuring reliable operation of the DC microgrid. Key advantages of the proposed system include high efficiency, modularity, stability and scalability, making it suitable for modern energy storage and grid integration applications.

Cochin University of Science and Technology (IN)
Affordable and clean energy
Openalex Percentile: Top 84%
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.