Advances in Model Predictive Control for Power Electronics

Dear Colleagues,

Power electronics play a vital role in many critical and emerging applications, including renewable generation, industrial applications, energy storage systems, power electronics transformers, HVDC, electric vehicles, smart grids, etc. Over the last several decades, power electronics have seen significant technological advances, enabling new and increasingly complex topologies and applications. This has created vital new possibilities, but also new challenges.

One of the main challenges in complex power electronics systems is ensuring a fast, stable, and high-performance control of the system. In this regard, model predictive control (MPC) has received increasing attention from the scientific community, having demonstrated excellent results in multiple power electronics applications. MPC is especially advantageous due to its fast dynamic response, simultaneous pursuit of multiple control objectives, and easy inclusion of non-linearities and constraints. These characteristics make MPC ideal for the power electronics field, where complex systems with multiple control objectives are prevalent.

Many important advances have been made in recent years regarding MPC, enabling the control of highly complex power electronics systems with excellent performance, improved stability, and lower computational load (higher feasibility).

This Special Issue aims to collect, present and disseminate the most recent advances regarding the control of power electronics converters using model predictive control techniques.

Prospective authors are invited to submit original contributions, survey papers, or tutorials for possible publication in this Special Issue. 

Topics of interest include, but are not limited to:

• Innovative MPC techniques or approaches;
• MPC-based control of power electronics converters in all fields of application, including solid-state transformers, transportation, renewables, energy storage, HVDC, power conditioning, etc.;
• MPC of complex converter topologies (e.g., multilevel or modular converters);
• MPC performance optimization techniques (e.g., through parameter estimation or adaptive behavior);
• Techniques for MPC computational load reduction;
• MPC weighting factor selection or real-time optimization techniques;
• MPC of multi-converter systems;
• Advanced MPC implementations (e.g., FPGA-based);
• Fault-tolerant MPC techniques.

Technical Program Committee Members:

1. Mr. Tiago Oliveira University of Coimbra

Dr. Luís Caseiro
Dr. André Mendes
Dr. Sérgio Cruz
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. Electronics is an international peer-reviewed open access semimonthly 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.

• power electronics converters
• model predictive control
• advanced control techniques
• controller optimization
• fault-tolerant control