Nonlinear Control and Optimization of Power Processes and Energy Systems
This special issue belongs to the section "F1: Electrical Power System".
Special Issue Information
Dear Colleagues,
Recently, the development of advanced control schemes based on nonlinear control theory has received considerable attention in multi-source energy systems owing to its numerous advantages, including superior robustness, high control performance, enhanced disturbance rejection, and guaranteed stability under critical operation conditions. These advantages make nonlinear control particularly suitable for modern energy systems.
On the other hand, several optimization strategies can be employed to design optimal nonlinear controllers or energy management techniques to enhance the power flow of multi-source energy systems. These strategies enable optimal power flow management, improve system stability and energy efficiency, and ensure the reliable integration and utilization of multiple energy sources.
This Special Issue focuses on the latest advances in nonlinear control theory and optimization techniques, as well as their applications to multi-source energy systems. Topics of interest include, but are not limited to:
- Multi-Source Energy Systems;
- Integration of renewable energy resources;
- Electric Vehicles;
- Advanced nonlinear control theory;
- New metaheuristic algorithms;
- Machine learning and AI for power systems;
- Advanced distribution management systems (ADMS);
- Distributed energy resources management systems (DERMS).
Dr. Laib Abdelbaset
Dr. Badreddine Kanouni
Guest Editors
Manuscript Submission Information
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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
- multi-source energy systems
- nonlinear control methods
- power distribution systems
- renewable energy resources
- optimization techniques
- energy management systems
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