Electrical Energy Storage Systems and Grid Services

Dear Colleagues,

With the rapid expansion of renewable energy integration and modern power systems, electrical energy storage systems have become a key enabling technology for improving grid flexibility, reliability, and operational efficiency. Accurate state assessment, predictive modeling, and intelligent management of energy storage systems play a critical role in supporting grid services such as power dispatch, frequency regulation, peak shaving, and ancillary services, while also influencing system efficiency, safety, and lifecycle cost.

To enable the efficient and reliable operation of grid-connected energy storage, there is a growing demand for advanced state estimation, state prediction, and control methodologies that can operate under complex and dynamic conditions.

This Special Issue aims to bring together recent academic and industrial advances related to electrical energy storage systems and grid services, with particular emphasis on modeling, estimation, prediction, and management techniques that enhance system-level performance and grid coordination. Contributions addressing both theoretical developments and practical deployment challenges are welcomed, including studies on battery-based storage systems, as well as broader perspectives on energy storage integration and grid-oriented applications.

The aim of this Special Issue is to collate scientific manuscripts on the theoretical and practical aspects of modeling, state evaluation, prediction, and management of electrical energy storage systems. The key focus is to present recent theoretical advances, as well as novel specification, design, and control methodologies, in order to improve the efficiency, reliability, safety, and grid-supporting capability of modern energy storage systems.

Topics may include, but are not limited to, the following:

1. Electrical energy storage systems and grid services
2. State estimation and state prediction for energy storage systems
3. Battery energy storage systems (SOC, SOH, SOE, SOT, RUL)
4. Degradation modeling and lifecycle assessment of energy storage
5. Data-driven and hybrid modeling methods for storage systems
6. Reliability- and safety-oriented energy storage management
7. Embedded and real-time implementation for grid-connected storage
8. Energy storage–grid interaction and coordinated control strategies

Dr. Xinyuan Fan
Dr. Linjing Zhang
Dr. Kaibo Li
Prof. Dr. Georgios Papadakis
Dr. Christos-Spyridon Karavas
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. Electronics 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 2400 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.