Intelligent Operation and Control for Sustainable Power and Energy Systems
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electromechanical Energy Conversion Systems".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 507
Special Issue Editors
Interests: smart grids; management control schemes in distribution systems; AI applications in power systems; security and privacy protection; travelling waves; protective devices coordination; fault detection and location techniques; DC microgrids; nanocomposite materials for cable insulation; HVDC transmission systems; open-conductor and high-impedance fault detection; interturn fault protection in motors and transformers; current transformer saturation; generator fault protection
Interests: power system overvoltage; generation and measurement of impulse; voltage; characterization of impulse voltage; modeling of power transformers; FEM simulation of underground cables; condition monitoring of surge arresters; pre-saturated core fault current limiters; wireless power transfer
Special Issue Information
Dear Colleagues,
The possession of intelligent operation and control capabilities for sustainable power and energy systems has become an urgent necessity to ensure high efficiency, reliability, and safety. This trend requires the development and implementation of electromechanical smart devices, digital modeling, and new methodologies in artificial intelligence and predictive analytics. Sustainable energy systems encompass electromechanical energy conversion systems and renewable generation, such as wind turbines, which lead to complex dynamic behavior and operational challenges, requiring advanced approaches in automation, control, and condition monitoring and diagnostics. Furthermore, the integration of renewable energy into the power grids requires further development of intelligent control, fault management, and cybersecurity techniques for both the grid and individual apparatuses, including electrical machines such as generators and transformers.
This Special Issue aims to bring together high-quality contributions that highlight recent advances in intelligent operation, monitoring, fault detection and diagnosis, self-healing mechanisms, and cybersecurity with a particular emphasis on sustainable power and energy systems. It seeks to showcase the application of novel theories and methodologies across various domains to enhance operational management and automation. Contributions that include practical implementation and experimental validation are especially encouraged.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Fault detection, diagnosis, and predictive maintenance of electrical machines and electromechanical energy conversion systems.
- Multiphysics and AI-assisted modeling of electromechanical and renewable energy systems.
- Renewable energy integration, grid coordination, and advanced automation strategies.
- Digital Twin and data-driven modeling for real-time monitoring and intelligent control.
- Self-healing and resilience strategies for renewable-integrated power grids.
- Optimization techniques for energy efficiency, dynamic performance, and intelligent operation of sustainable energy systems.
- Cybersecurity and secure control architectures for sustainable power systems and smart grids.
Dr. Mahmoud Elsadd
Prof. Dr. Mohamed Eladawy
Prof. Dr. Ayman Samy Abdel-Khalik
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines 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
- electromechanical energy conversion systems
- predictive maintenance of electrical machines
- fault detection and diagnosis
- condition monitoring
- multiphysics modeling
- renewable energy systems
- automation and intelligent control
- self-healing control
- cybersecurity of sustainable power and energy systems
- mechatronics and intelligent machines
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