Energy Management Strategies (EMSs) Based on Energy Storage Systems (ESSs) Ⅱ
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D: Energy Storage and Application".
Deadline for manuscript submissions: closed (1 March 2023) | Viewed by 46161
Please submit your paper and select the Journal "Energies" and the Special Issue "Energy Management Strategies (EMSs) Based on Energy Storage Systems (ESSs) Ⅱ" via: https://susy.mdpi.com/user/manuscripts/upload?journal=energies.
Please contact the journal editor Adele Min ([email protected]) before submitting.
Special Issue Editors
Interests: advanced control, design, and construction of automation systems and pilot plants; instrumentation; optimization of chemical processes; renewable energy systems; fuel cell applications; hydrogen production; catalytic reactors; energy management strategies; energy storage
Special Issues, Collections and Topics in MDPI journals
Interests: advanced control systems; modeling and optimization of process systems; hybrid renewable energy systems; energy storage (electrical, chemical, thermochemical); energy management strategies of autonomous systems or microgrids
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Energy storage constitutes the key factor for the distributed power generation of micro/smart grids. Energy management and control strategies incorporate advanced technologies to achieve an efficient and flexible form of power management that ensures energy storage and delivery on a time scale ranging from seconds to years. Energy storage systems (ESSs) must cover the power variability of distributed generation in the short term, to compensate for the intermittent nature of renewable generation and to serve as a utility in order to improve the power quality, reliability, and cost for end users.
The topics of interest in this Special Issue include the efficient implementation of ESSs for intelligent and flexible energy management strategies (EMSs) concerning dynamic heterogeneous complex systems; the aging, maintenance, and operability of ESSs; model-based optimization methods for the siting, sizing, and selection of ESSs while incorporating market prices and operating parameters; and model predictive EMSs.
Dr. Spyros Voutetakis
Prof. Dr. Simira Papadopoulou
Guest Editors
Manuscript Submission Information
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Keywords
- energy storage systems
- electrical, chemical, thermochemical storage
- energy management strategies
- modeling and control
- model predictive optimization
- lifetime and aging of ESSs
- micro/smart grids
- renewable generation
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