Evolutionary Computation for Smart Grid and Energy Systems
A special issue of Computation (ISSN 2079-3197).
Deadline for manuscript submissions: closed (31 January 2026) | Viewed by 4136
Special Issue Editors
Interests: smart grids; protection coordination; optimization; integration of distributed energy resources
Special Issues, Collections and Topics in MDPI journals
Interests: nonlinear control design; dynamical analysis; mathematical and combinatorial optimization; electrical networks; energy storage systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Evolutionary computation techniques have emerged as powerful tools in the domain of smart grids and energy systems, owing to their effectiveness in solving complex, nonlinear, and multi-objective optimization problems. These approaches have shown notable success in tackling key challenges such as optimal power flow, energy dispatch, renewable energy integration, and grid resilience. By harnessing the capabilities of evolutionary algorithms, system operators and planners can make more informed decisions, enhance system reliability, and accelerate the transition toward smarter, more adaptive, and sustainable energy infrastructures.
The main objective of this Special Issue is to compile high-quality original research articles and comprehensive review papers that highlight recent advances in the application of evolutionary computation to smart grids and energy systems. We welcome contributions that explore innovative methods, practical implementations, and theoretical developments. Topics of interest include, but are not limited to, the following:
- Optimal placement and sizing of distributed energy resources;
- Evolutionary algorithms for demand-side management;
- Renewable generation forecasting and scheduling;
- Energy storage optimization;
- Microgrid design and control using bio-inspired methods;
- Evolutionary strategies for grid stability and reliability;
- Hybrid metaheuristic approaches in power system planning;
- Real-time energy market optimization;
- Multi-objective optimization in energy systems;
- Evolutionary computation for electric vehicle integration and scheduling;
- Efficient active and reactive power management;
- Convex optimization in hybrid AC/DC networks.
Prof. Dr. Jesús María López-Lezama
Dr. Oscar Danilo Montoya
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. Computation 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 1800 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
- evolutionary algorithms
- smart grids
- energy system optimization
- metaheuristic approaches
- renewable energy integration
- nonlinear optimization and control
- distribution networks
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