Intelligent Optimization and Digital Technologies for Energy Storage Systems in Power Grid Applications
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D: Energy Storage and Application".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 75
Special Issue Editors
Interests: power system planning and operational optimization; integration of renewable and distributed energy resources; power system safety and risk management
Interests: multi-agent collaborative control and optimization methods and their application in power energy systems
Special Issue Information
Dear Colleagues,
In an era of energy transition and grid modernization, energy storage systems (ESSs) have emerged as a core component for enhancing grid flexibility, reliability, and intelligence. Especially within power grid applications, the role of ESSs has expanded from simple peak-shaving to multi-functional assets supporting frequency regulation, black start, market participation, and renewable energy integration. This Special Issue focuses on cutting-edge research and emerging technologies that support the intelligent optimization, digital modeling, life-cycle management, and market integration of ESSs under grid-oriented scenarios.
Topics of interest include, but are not limited to, the following:
(1）Theoretical and practical research on intelligent regulation architectures for energy storage;
(2）Coordinated optimization and control methods for energy storage systems spanning generation, grid, and load sides;
(3）Key theories for energy storage participation in diversified market mechanisms;
(4）Fault diagnosis, lifetime prediction, and second-life utilization technologies for energy storage systems;
(5）Intelligent equipment and key technologies for energy storage dispatch and control.
This Special Issue aims to bridge theoretical insights and engineering implementations, contributing to the next generation of grid-interactive, intelligent, and sustainable energy storage systems.
Prof. Dr. Zhaoxi Liu
Dr. Tong Qian
Dr. Zhengyang Hu
Guest Editors
Manuscript Submission Information
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Keywords
- energy storage
- power grid
- grid-interactive
- intelligent optimization
- digital modeling
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