Sustainable Intelligent Design, Control and Optimization for Renewable-Integrated Power Systems
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electromechanical Energy Conversion Systems".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 659
Editor
Interests: optimization; power systems analysis; power transmission
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The global shift toward sustainable and low-carbon energy systems has significantly transformed the structure and operation of modern power networks. The large-scale integration of renewable energy sources, such as solar and wind, introduces inherent variability, uncertainty, and complexity into power system planning and operation. These challenges necessitate the development of advanced methodologies for intelligent design, real-time control, and optimal operation. In recent years, the emergence of artificial intelligence, machine learning, and metaheuristic optimization techniques has provided powerful tools to enhance system flexibility, reliability, and efficiency. Furthermore, the evolution of smart grids, microgrids, and cyber-physical energy systems has reinforced the need for interdisciplinary approaches that combine sustainability principles with intelligent engineering solutions. This Special Issue seeks to address these pressing challenges and highlight innovative contributions that support the transition toward resilient and low-carbon renewable-integrated power systems.
We are pleased to invite you to contribute to this Special Issue, titled “Sustainable Intelligent Design, Control and Optimization for Renewable-Integrated Power Systems.” This Special Issue aims to present recent advances in sustainable intelligent design, control, and optimization techniques for renewable-integrated power systems, with a strong emphasis on practical applicability and engineering innovation. It is intended to provide a focused platform for disseminating cutting-edge research that aligns with the scope of Machines, particularly in areas related to intelligent systems, advanced control, energy-efficient technologies, and system optimization. The scope is designed to be sufficiently broad to attract diverse contributions while maintaining a clear focus on intelligent and sustainable energy system applications.
This Special Issue aims to include topics on the following:
- Promoting innovative AI-driven and optimization-based solutions for power systems;
- Addressing challenges of renewable energy integration and system uncertainty;
- Enhancing operational efficiency, stability, and resilience of modern grids;
- Bridging theoretical developments with real-world engineering applications;
- Encouraging interdisciplinary research across energy, control, and computational intelligence.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Intelligent optimization algorithms for power system planning and operation;
- Renewable energy integration, hybrid systems, and energy storage technologies;
- Smart grids, microgrids, and distributed energy resource management;
- AI-based control strategies for stability, frequency, and voltage regulation;
- Energy management systems and demand-side response optimization;
- Low-carbon technologies and sustainable energy system design;
- Metaheuristic, evolutionary, and data-driven approaches in power engineering;
- Digital twin, IoT, and cyber-physical systems in energy applications;
- Uncertainty modeling, stochastic optimization, and robust control techniques;
- Electric vehicle integration and its impact on power system operation;
- Power system resilience, reliability, and security enhancement;
- Multi-objective optimization and decision-making in energy systems.
We look forward to receiving your contributions.
Dr. Abdullah Shaheen
Guest Editor
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. 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
- sustainable power systems
- renewable energy integration
- intelligent optimization
- artificial intelligence
- smart grids
- microgrids
- energy management systems
- power system control
- metaheuristic algorithms
- energy storage systems
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