Energy Storage Systems in Microgrid of Hybrid Renewable Energy Solutions
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D: Energy Storage and Application".
Deadline for manuscript submissions: 20 January 2027
Special Issue Editors
Interests: renewable energies; clean energies; sustainability; hydropower systems; zero-energy buildings; simulated modelling; optimization procedure; sustainable development
Special Issues, Collections and Topics in MDPI journals
Interests: hydropower; hydraulic transients; energy efficiency; eco-design projects; pumped-storage; water–energy–food nexus; hybrid energy solutions; renewable energy sources; energy recovery; hydrodynamics
Special Issues, Collections and Topics in MDPI journals
Interests: hydraulic transients; hydropower; machine learning; computational fluid dynamics; hydroinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The increasing integration of renewable energy sources (RESs) into microgrids has brought unprecedented opportunities for sustainable power systems, yet it also presents significant challenges in maintaining stability, reliability, and efficiency. Energy Storage Systems (ESSs) play a pivotal role in hybrid renewable energy solutions, bridging the gap between variable generation and fluctuating demand. This Special Issue focuses on the design, optimization, and operation of ESSs within microgrids powered by hybrid renewable sources such as solar, wind, and small-scale hydropower. Innovative strategies that combine energy storage with advanced control algorithms are crucial to enhancing system flexibility, reducing curtailment, and ensuring a continuous power supply.
Recent advancements have demonstrated that integrating machine learning techniques into ESS management can significantly improve forecasting, state-of-charge estimation, and real-time decision-making. Machine learning models can predict renewable generation patterns, optimize charge–discharge cycles, and enhance predictive maintenance, resulting in more resilient and cost-effective microgrid operations. Moreover, hybrid energy systems equipped with ESSs enable peak-shaving, load balancing, and grid-support functionalities, which are vital for decentralized energy networks and smart grid applications.
This Special Issue aims to gather cutting-edge research addressing both technological and operational aspects of ESSs in hybrid microgrids. Submissions may include theoretical modeling, simulation studies, experimental validation, and field deployments. Interdisciplinary approaches that combine power systems, control engineering, data analytics, and machine learning are particularly encouraged, as they provide comprehensive solutions to complex energy challenges.
Topics of interest include, but are not limited to, the following:
- Advanced energy storage technologies for hybrid renewable microgrids.
- Optimization and control strategies for ESS integration.
- Machine learning approaches for forecasting, state-of-charge estimation, and predictive maintenance.
- Hybrid energy system design and performance evaluation.
- Grid stability, reliability, and demand–supply management with ESSs.
- Case studies, pilot projects, and experimental validation of microgrid solutions.
By highlighting innovative storage strategies and the role of intelligent decision-making tools, this Special Issue seeks to accelerate the deployment of efficient, sustainable, and resilient hybrid energy microgrids worldwide.
Dr. Modesto Pérez-Sánchez
Prof. Dr. Helena M. Ramos
Dr. Óscar E. Coronando-Hernández
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- energy storage systems (ESSs)
- hybrid renewable energy systems
- microgrids
- machine learning for energy management
- grid stability and optimization
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