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Special Issue: Operation and Maintenance of Grid-Connected BESS-Renewable Based Microgrids with Optimization and Control

Guest Editor

Dr. SK. Shezan Arefin
Discipline of Engineering and Energy, Murdoch University, Perth, WA, Australia
Email: shezan.arafin@eit.edu.au

Manuscript Topics

Welcome to this special issue on "Operation and Maintenance of Grid-Connected Battery Energy Storage Systems (BESS) in Renewable-Based Microgrids with Optimization and Control." This collection of articles aims to delve into the critical aspects of managing grid-connected BESS within microgrid systems that rely on renewable energy sources. The special issue explores the challenges, advancements, and best practices related to optimizing and controlling these systems to ensure their seamless operation and long-term sustainability. As the world increasingly adopts renewable energy solutions, understanding the intricacies of BESS operation and maintenance becomes paramount, making this special issue a valuable resource for researchers, practitioners, and policymakers in the field of sustainable energy.
The transition towards a sustainable and clean energy future has driven the rapid integration of renewable energy sources into the power grid. Among the most promising technologies facilitating this transition are Grid-Connected Battery Energy Storage Systems (BESS) within renewable-based microgrids. The efficient operation and maintenance of these systems play a pivotal role in ensuring their reliable performance, seamless integration with the grid, and optimal utilization of renewable resources. Consequently, this special issue is dedicated to exploring the key aspects related to the "Operation and Maintenance of Grid-Connected BESS-Renewable Based Microgrids with Optimization and Control."
The primary aim of this special issue is to foster a comprehensive understanding of the challenges, advancements, and opportunities in effectively managing grid-connected BESS in microgrid setups powered by renewable energy sources. The articles featured in this collection will offer insights into the development of robust control strategies, sophisticated optimization techniques, and innovative maintenance approaches specifically tailored to address the unique characteristics of these interconnected systems. By focusing on such advancements, this special issue aims to bridge the gap between theoretical research and practical applications, facilitating the deployment of reliable and sustainable microgrid solutions worldwide.
The scope of this special issue encompasses a diverse range of topics, including, but not limited to:
• Advanced control algorithms for BESS operation in renewable-based microgrids.
• Optimal scheduling and dispatch strategies to maximize the utilization of renewable energy resources.
• Integration of artificial intelligence and machine learning techniques for enhanced system performance and decision-making.
• Predictive maintenance approaches to prolong the lifespan and reliability of BESS components.
• Evaluation and mitigation of performance degradation and aging effects in battery systems.
• Resilience and stability analysis of grid-connected microgrids under various operating conditions.
• Case studies, field trials, and real-world experiences of implementing and managing BESS in renewable-based microgrids.


Researchers, engineers, and industry experts from diverse disciplines are invited to contribute their original research and reviews to this special issue. It is anticipated that the knowledge and insights shared within this collection will foster innovation, guide policy formulation, and accelerate the deployment of grid-connected BESS in renewable-based microgrids, ultimately contributing to the global pursuit of a sustainable energy landscape.


Instruction for Authors
https://www.aimspress.com/aimse/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 31 July 2024

Published Papers()