Review of Advanced Control Strategies for Isolated DC–DC Converters in DC Microgrids

Direct current (DC) microgrids have emerged as a promising solution for achieving resilient, efficient, and sustainable power distribution across diverse applications. Advanced control strategies are crucial to ensure reliable operation, effective energy management, and effective integration of renewable energy sources. This paper comprehensively reviews the latest developments in control techniques in DC microgrids, emphasizing their theoretical foundations, real-world applications, and performance assessments. The review covers a wide range of sophisticated control methodologies, including backstepping control, model predictive control (MPC), passivity-based control (PBC), and sliding mode control (SMC). Each approach is analyzed in detail, highlighting its underlying principles, advantages, limitations, and specific applications in DC microgrid systems. To further illustrate the practical relevance of these strategies, case studies and real-world examples are presented, demonstrating their efficacy in various operational scenarios. Additionally, the paper addresses key research challenges and identifies opportunities for future advancements in DC microgrid control strategies. This review aims to provide valuable insights for researchers and practitioners involved in the design, optimization, and operation of DC microgrids, contributing to the advancement of sustainable energy technologies in modern power systems.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3578910
Citations
4
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
4.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Review of Advanced Control Strategies for Isolated DC–DC Converters in DC Microgrids

Mehwish Batool, Dylan Dah‐Chuan Lu, Waqas Hassan
4 citations
IEEE Access
Microgrid Control and Optimization
4.86
article

Review of Advanced Control Strategies for Isolated DC–DC Converters in DC Microgrids

Mehwish Batool, Dylan Dah‐Chuan Lu, Waqas Hassan
article en
4 citations

Abstract

Direct current (DC) microgrids have emerged as a promising solution for achieving resilient, efficient, and sustainable power distribution across diverse applications. Advanced control strategies are crucial to ensure reliable operation, effective energy management, and effective integration of renewable energy sources. This paper comprehensively reviews the latest developments in control techniques in DC microgrids, emphasizing their theoretical foundations, real-world applications, and performance assessments. The review covers a wide range of sophisticated control methodologies, including backstepping control, model predictive control (MPC), passivity-based control (PBC), and sliding mode control (SMC). Each approach is analyzed in detail, highlighting its underlying principles, advantages, limitations, and specific applications in DC microgrid systems. To further illustrate the practical relevance of these strategies, case studies and real-world examples are presented, demonstrating their efficacy in various operational scenarios. Additionally, the paper addresses key research challenges and identifies opportunities for future advancements in DC microgrid control strategies. This review aims to provide valuable insights for researchers and practitioners involved in the design, optimization, and operation of DC microgrids, contributing to the advancement of sustainable energy technologies in modern power systems.

IEEE AccessVol. 13
University of Technology Sydney (AU), University of Tasmania (AU), University of Lahore (PK)
Affordable and clean energy
Openalex Percentile: Top 5%
Microgrid Control and Optimization
4.86
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.