Intelligent Control and Optimization of Power Electronics and Energy Storage Systems
This special issue belongs to the section "Energy Systems".
Special Issue Information
Dear Colleagues,
Intelligent control and optimization techniques are essential for improving the performance of power electronic converters and energy storage systems under dynamic operating conditions. Recent advances in artificial intelligence, model predictive control, robust and adaptive control, multi-objective optimization, and data-driven energy management provide promising solutions for enhancing the operation, coordination, and grid integration of these technologies.
This Special Issue on "Intelligent Control and Optimization of Power Electronics and Energy Storage Systems" seeks high-quality original research articles and review papers focusing on advanced control, optimization, modeling, and intelligent operation of power electronic converters and energy storage systems for modern power and energy applications. Topics include, but are not limited to:
- Advanced control of power electronic converters and inverters;
- Grid-connected converter control and synchronization techniques;
- Battery energy storage system modeling, control, and optimization;
- Intelligent energy management for smart grids and microgrids;
- Optimization of hybrid energy storage systems;
- Power electronics for renewable energy integration;
- Electric vehicle charging systems and vehicle-to-grid applications;
- Model predictive control, adaptive control, robust control, and nonlinear control methods;
- Artificial intelligence and machine learning applications in power electronics and energy storage systems;
- Multi-objective optimization for energy storage operation and planning;
- Power quality improvement, harmonic mitigation, and reactive power compensation;
- Stability analysis of converter-dominated power systems;
- Demand response and flexible load coordination using energy storage;
- Fault diagnosis, fault-tolerant control, and reliability enhancement;
- Cyber-physical control and digitalization of power and energy systems;
Dr. Farhan Hameed Malik
Dr. Zunaib Maqsood Haider
Dr. Hsin-Jang Shieh
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes 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.
Keywords
- power electronics
- energy storage systems
- intelligent control
- optimization techniques
- battery management systems
- grid-connected converters
- renewable energy integration
- smart grids
- electric vehicles
- artificial intelligence
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