Advancements in Optimization and Control Algorithms for Intelligent Electric Power Systems
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: 17 April 2026 | Viewed by 850
Special Issue Editors
Interests: machine learning; eetaheuristics; power systems application; image processing
Interests: neural networks; machine learning; evolutionary computing
Special Issues, Collections and Topics in MDPI journals
Interests: energy management systems; optimal power flow; machine learning; power system control; distribution network reconfiguration
Special Issues, Collections and Topics in MDPI journals
Interests: combinatorial optimization; computer networks; algorithm theory; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The growing demand for electricity poses significant challenges in ensuring a reliable and efficient energy supply for electric power systems, which is a complex task to address today. Optimization and control algorithms have emerged as an advanced problem-solving methodology across various scientific and engineering fields, providing sophisticated strategies for improving system performance, resource allocation, decision-making processes, and traditional as well as intelligent control approaches. The integration of optimization and control methodologies has further broadened the horizons of computational intelligence. This Special Issue aims to explore cutting-edge advancements in optimization and control, with a particular emphasis on their application within intelligent electric power systems, and their synergy with emerging technologies such as the Internet of Things (IoT) and advanced communication networks. These integrated approaches enable the systematic exploration of solution spaces, identification of optimal configurations, and dynamic control of systems that can adapt to changing conditions.
This Special Issue therefore welcomes original research and review articles covering the following topics:
- Optimization and control of power systems;
- Advanced algorithms for smart grid optimization and control;
- Intelligent optimization and control for modern power grids;
- Dynamic control and optimization of renewable energy;
- Robust control for power systems;
- Photovoltaic system optimization;
- Optimization and control of battery energy storage;
- Optimization of energy management of power systems;
- Dynamic control for electric power systems;
- Algorithms for fault diagnosis and design of fault-tolerant control;
- Energy optimization and its applications;
- Control and Integration of emerging technologies in power systems;
- IoT for sensing, monitoring, and control;
- Networked control systems for distributed energy resources;
- Data analytics and machine learning for predictive control and optimization in smart grids;
- Real-time optimization and control using distributed intelligence.
Dr. Omar Avalos Alvarez
Prof. Dr. Jorge Gálvez
Prof. Dr. Primitivo Diaz
Prof. Dr. Rolando Menchaca-Méndez
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Processes is an international peer-reviewed open access monthly 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 systems
- smart grid
- renewable energy
- dynamic control
- fault tolerance
- energy optimization
- algorithms
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