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Advanced Control of Power Electronic Systems

A Special Issue of Energies (ISSN 1996-1073) belonging to the section "F3: Power Electronics".

Deadline for manuscript submissions: 25 October 2026 | Viewed by 978

Editors


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Guest Editor
School of Engineering, University of Tasmania, Hobart, TAS 7001, Australia
Interests: renewable energy; power electronics; nonlinear control; sliding mode
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Guest Editor
Electrical and Electronics at School of Science Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122, Australia
Interests: renewable energy systems; microgrids; smart grids; AI integrated energy systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Engineering, University of Tasmania, Hobart, TAS 7001, Australia
Interests: renewable energy; photovoltaics; power systems; renewables integration; battery storage; smart grids
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Engineering, University of Tasmania, Hobart, TAS 7001, Australia
Interests: designing and developing power electronics technologies and products; solar photovoltaic (PV) power systems; renewable energy systems; battery storage and grid integration; DC microgrids; electric vehicle systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Power electronic systems are central to modern energy conversion and electrification, supporting renewable energy integration, energy storage, electric transportation, microgrids, motor drives, and converter-dominated power systems. As these applications become increasingly dynamic, distributed, and performance-critical, there is growing demand for advanced control strategies that can ensure fast dynamic response, robustness against uncertainties and disturbances, high efficiency, improved power quality, and reliable operation over a wide range of operating conditions.

Recent advances in predictive, adaptive, observer-based, nonlinear, data-driven, and AI-assisted control are creating new opportunities for both theoretical development and practical deployment in power electronic systems. At the same time, emerging applications such as grid-forming and grid-following converters, renewable energy interfaces, electric vehicle charging systems, solid-state transformers, and hybrid AC/DC energy systems require control solutions that are not only analytically rigorous but also practically implementable and experimentally validated.

This Special Issue aims to bring together high-quality original research articles and review papers on the analysis, design, implementation, and application of advanced control methods for power electronic systems. Contributions addressing converter-level, system-level, and application-oriented challenges are all welcome, particularly where practical relevance is demonstrated through digital implementation, real-time simulation, hardware-in-the-loop testing, or experimental validation. Topics of interest include, but are not limited to, the following:

  • Advanced control of DC–DC, AC–DC, DC–AC, and AC–AC power converters;
  • Nonlinear, robust, adaptive, predictive, optimal, and data-driven control methods;
  • Observer-based estimation, sensorless control, and disturbance rejection techniques;
  • AI-assisted control, tuning, and design optimization for power electronic systems;
  • Control of grid-forming and grid-following converters, synchronization, and weak-grid operation;
  • Stability analysis, transient performance enhancement, and power quality improvement;
  • Fault-tolerant, resilient, and secure control of converter-interfaced systems;
  • Control of power electronic systems for renewable energy, energy storage, electric vehicles, motor drives, HVDC, and microgrids;
  • Digital control implementation, DSP/FPGA-based realization, real-time simulation, hardware-in-the-loop testing, and experimental validation;
  • Co-design of converter hardware, modulation, and control for high-performance applications.

Dr. Pooyan Alinaghi Hosseinabadi
Dr. Mehdi Seyedmahmoudian
Dr. Evan Franklin
Dr. Waqas Hassan
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies 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 2600 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

  • power electronic systems
  • advanced control
  • power converters
  • renewable energy integration
  • grid-forming converters
  • model predictive control
  • sliding mode control
  • robust control
  • data-driven control
  • digital control
  • hardware-in-the-loop
  • experimental validation

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Published Papers (2 papers)

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Research

14 pages, 2337 KB  
Article
Coordinated Operation and Stability Limits of Grid-Forming and Grid-Following Inverters in Power System Restoration
by Mohammad Kamran Ikram, Pooyan Alinaghi Hosseinabadi, Mehdi Seyedmahmoudian, Saad Mekhilef and Alex Stojcevski
Energies 2026, 19(16), 3875; https://doi.org/10.3390/en19163875 - 18 Aug 2026
Viewed by 307
Abstract
As power systems transition from synchronous generation towards inverter-based resources (IBRs), these resources will increasingly need to provide black-start and power system restoration services. This paper evaluates the transient interactions and stability limits of coordinated grid-forming (GFM) and grid-following (GFL) inverter operation during [...] Read more.
As power systems transition from synchronous generation towards inverter-based resources (IBRs), these resources will increasingly need to provide black-start and power system restoration services. This paper evaluates the transient interactions and stability limits of coordinated grid-forming (GFM) and grid-following (GFL) inverter operation during a bottom-up restoration process. Using a parallel–sequential restoration strategy, restoration of the main transmission backbone and formation of a local restoration island with high GFL penetration proceed in parallel, while the energisation events within each restoration path are carried out sequentially, in a modified IEEE 9-bus test system. Electromagnetic transient (EMT) simulations are used to identify the maximum tested stable operating point of the restoration island as GFL capacity is progressively increased. The simulation results demonstrate that, for the studied system and operating conditions, a single 10 MW GFM anchor can maintain stable island operation with up to 110 MW of aggregate GFL capacity, corresponding to a GFM-to-GFL capacity ratio of 1:11. When the aggregate GFL capacity is increased to 120 MW, corresponding to the next tested ratio of 1:12, the restoration island becomes unstable, with the observed instability associated with loss of synchronisation in the GFL phase-locked loops (PLLs). At the 1:11 operating point, the corresponding equivalent short-circuit ratio (ESCR) is 2.5, indicating weak-grid conditions. Finally, the 1:11 restoration island is successfully resynchronised with the main grid, with active power, frequency, and PCC voltage recovering within approximately 1.5 s following the switching events. Full article
(This article belongs to the Special Issue Advanced Control of Power Electronic Systems)
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32 pages, 8429 KB  
Article
Research on High-Performance Speed Regulation of Switched Reluctance Motor Based on Improved Nonsingular Fast Terminal Sliding Mode Control and an Adaptive Bandwidth Modified Super-Twisting Observer
by Lianpeng Zhang, Cheng Liu, Jingyuan Zhang and Rongchang Li
Energies 2026, 19(15), 3588; https://doi.org/10.3390/en19153588 - 30 Jul 2026
Viewed by 351
Abstract
In response to the severe chattering, slow dynamic response, and limited disturbance rejection capability of switched reluctance motor (SRM) drive systems under conventional control methods, this paper develops an improved nonsingular fast terminal sliding mode controller (INFTSMC). An integral sliding surface is first [...] Read more.
In response to the severe chattering, slow dynamic response, and limited disturbance rejection capability of switched reluctance motor (SRM) drive systems under conventional control methods, this paper develops an improved nonsingular fast terminal sliding mode controller (INFTSMC). An integral sliding surface is first designed to eliminate the steady-state tracking error. An adaptive exponent and an improved double-power reaching law are then introduced to enhance the convergence performance. In addition, a smooth hyperbolic tangent approximation and a boundary layer design are employed instead of the conventional signum function to suppress chattering while maintaining a rapid response. Theoretical analysis demonstrates that the sliding variable is globally asymptotically stable and enters any prescribed neighborhood of the origin within a fixed time independent of the initial condition, thereby establishing practical fixed-time convergence rather than exact finite-time stability. Furthermore, an error-dependent bandwidth scheduling mechanism is incorporated into the modified super-twisting observer, resulting in an adaptive bandwidth modified super-twisting observer (AB-MSTO) for load torque estimation and compensation. The proposed bandwidth scheduling mechanism improves the balance between transient estimation speed and steady-state noise sensitivity. Finally, a MATLAB/Simulink simulation platform is constructed to evaluate the proposed control strategy. The simulation results demonstrate that the proposed INFTSMC combined with the AB-MSTO improves the dynamic speed regulation performance and disturbance rejection capability of the SRM drive system under different operating conditions. Full article
(This article belongs to the Special Issue Advanced Control of Power Electronic Systems)
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