AI-Driven Control and Optimization in Power Electronics

Dear Colleagues,

Power electronics are essential in contemporary energy systems, enabling the efficient conversion, control, and integration of renewable sources. As these systems become increasingly complex—particularly in smart grids, electric mobility, and distributed generation—advanced strategies for control and optimization are becoming more necessary.

Artificial Intelligence (AI) offers a diverse range of tools that enhance performance, adaptability, and system responsiveness. Techniques such as machine learning, deep learning, reinforcement learning, and bio-inspired optimization have shown considerable potential in managing nonlinear behavior, uncertainty, and real-time operational requirements in power electronics.

This Special Issue seeks contributions that focus on recent algorithmic developments and AI applications related to the modeling, control, and optimization of power electronic converters, flexible AC transmission systems (FACTS), and intelligent control systems. We welcome theoretical studies, practical implementations, and case-based research that illustrate the integration of AI into power electronic applications.

The scope of this Special Issue includes, but is not limited to, the following topics:

• AI-based control of power converters (DC-DC, DC-AC, multilevel inverters, etc.);
• Predictive and adaptive control strategies using machine learning;
• AI-driven design and optimization of FACTS devices (e.g., STATCOM, UPFC, TCSC);
• Reinforcement learning and neural networks for real-time control;
• Fault detection, classification, and predictive maintenance in power electronic systems;
• Optimization algorithms for energy efficiency and thermal management;
• Digital twins and intelligent monitoring systems for power electronics;
• Applications in smart grids, microgrids, EV charging, and renewable energy integration.

Prof. Dr. Danny Ochoa
Prof. Dr. Wilian Paul Arevalo Cordero
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. Algorithms 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.