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Energies
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Control and Optimization of Power Converters
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Control and Optimization of Power Converters

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F3: Power Electronics".

Deadline for manuscript submissions: 28 August 2025 | Viewed by 899

Special Issue Editors

Prof. Dr. Fei Deng

E-Mail Website
Guest Editor
School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
Interests: control, modeling, and analysis of power converters; applications in renewable energy microgrids and electric-powered aircraft
Prof. Dr. Xiangke Li

E-Mail Website
Guest Editor
Department of Electrical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
Interests: power electronic converters and applications in microgrids and more/all-electric aircrafts
Special Issues, Collections and Topics in MDPI journals
Dr. Ziheng Xiao

E-Mail Website
Guest Editor
Energy Research Institute, Nanyang Technological University, Singapore 639798, Singapore
Interests: medium-voltage DC system; dual active bridge converters; resonant converters; energy router; applications of artificial intelligence in power electronics
Dr. Zhigang Yao

E-Mail Website
Guest Editor
Energy Research Institute, Nanyang Technological University, Singapore 639798, Singapore
Interests: high-power multiphase and multilevel DC-DC converters; resonant converters; grid-connected inverters; applications of wide-bandgap power electronic devices.
Dr. Lei Zhang

E-Mail Website
Guest Editor
Energy Research Institute, Nanyang Technological University, Singapore 639798, Singapore
Interests: modular multilevel converters (MMC); power converters; applications in energy storage systems and hybrid AC-DC microgrid

Special Issue Information

Dear Colleagues,

Power converters play a crucial role in modern electrical systems and are widely applied in renewable energy-based microgrids, industrial automation, electric vehicles, and aerospace applications. Their efficient control and optimization are critical for improving performance, reliability, and sustainability.

This Special Issue aims to provide a platform for researchers, engineers, and practitioners to present innovative solutions for controlling and optimizing power converters. The goal is to address challenges related to efficiency enhancement, stability, fault tolerance, and the integration of artificial intelligence and digital control in power electronics. The issue will feature cutting-edge research on both theoretical advancements and practical implementations of control and optimization techniques in power converters. Detailed topics include, but are not limited to, the following:

  1. Advanced control strategies for power converters;
  2. Optimization techniques in power converters for topology design, efficiency improvement, component sizing, and parameter tuning;
  3. Applications of power converters in renewable energy-based microgrids and grid integration;
  4. High-efficiency power conversion based on wide-bandgap semiconductor devices and high-frequency magnetics and passive component optimization;
  5. Condition monitoring and diagnostics, fault detection, protection, and EMI/EMC mitigation techniques for power converters;
  6. Power converters for electric vehicles (EVs), hybrid electric vehicles (HEVs), wireless power transfer (WPT), and wireless charging systems;
  7. Power converters for data center power supply optimization;
  8. Power converters for more/all-electric aircrafts and defense power electronic applications.

Prof. Dr. Fei Deng
Prof. Dr. Xiangke Li
Dr. Ziheng Xiao
Dr. Zhigang Yao
Dr. Lei Zhang
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. 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 converters
  • control strategies
  • optimization techniques
  • efficiency improvement
  • renewable energy
  • wide-bandgap semiconductors

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Published Papers (2 papers)

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Research

17 pages, 3443 KiB  
Article
Low Voltage Ride Through Coordination Control Strategy of DFIG with Series Grid Side Converter
by Xin Qi, Can Ding, Jun Zhang, Quan Wang and Wenhui Chen
Energies 2025, 18(10), 2537; https://doi.org/10.3390/en18102537 - 14 May 2025
Viewed by 331
Abstract
The present study investigates the control strategy of a novel doubled-fed induction generator (DFIG) with a series grid-side converter (SGSC) during grid faults. The rotor-side inverter is subject to a control strategy derived from the Model Predictive Current Control (MPCC) theory, which is [...] Read more.
The present study investigates the control strategy of a novel doubled-fed induction generator (DFIG) with a series grid-side converter (SGSC) during grid faults. The rotor-side inverter is subject to a control strategy derived from the Model Predictive Current Control (MPCC) theory, which is implemented during periods of fault occurrence; for the series grid-side converter, the positive and negative sequence component control is implemented during both steady state and fault periods to enhance system stability and performance. The proposed coordinated control strategy is implemented on a doubly fed turbine with SGSC, while taking into account different degrees of symmetric and asymmetric faults to further evaluate the efficacy of the proposed method. The results of the simulations demonstrate the efficacy of the model-predictive current control scheme applied to the rotor-side converter under conditions of asymmetric faults. This enables the suppression of a range of phenomena, including rotor overcurrent, stator overcurrent, and overvoltage, electromagnetic torque ripple, and DC bus voltage during low-voltage ride-through (LVRT), among others. The present study confirms the viability of implementing positive and negative sequences of voltage separation control in the SGSC during both grid faults and steady state. This approach is expected to minimize the switching of SGSC control strategies and thereby reduce output power fluctuations. The Rotor Side Converter (RSC) and SGSC can perform coordinated control during faults, and the proposed method is able to improve low-voltage ride-through performance compared to existing methods, thereby preventing damage to the converter under multiple fault conditions. Full article
(This article belongs to the Special Issue Control and Optimization of Power Converters)
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19 pages, 3864 KiB  
Article
A Fast SOC Balancing Method for MMC-BESS Based on Nonlinear Model-Predictive Control
by Xiaofan Ji, Fengxiang Xie, Yuantang Qi, Yongdong Ji, Decun Niu and Qizhong Yan
Energies 2025, 18(10), 2502; https://doi.org/10.3390/en18102502 - 13 May 2025
Viewed by 295
Abstract
In modular multilevel converter battery energy storage systems (MMC-BESS), state-of-charge (SOC) balancing is essential for ensuring safe and reliable operation. Existing methods based on linear controllers or conventional model-predictive control (MPC) often suffer from slow balancing speed, difficult parameter tuning, and high computational [...] Read more.
In modular multilevel converter battery energy storage systems (MMC-BESS), state-of-charge (SOC) balancing is essential for ensuring safe and reliable operation. Existing methods based on linear controllers or conventional model-predictive control (MPC) often suffer from slow balancing speed, difficult parameter tuning, and high computational burden. To address these challenges, this paper proposes a fast SOC balancing strategy based on nonlinear MPC. A nonlinear state-space model is first developed and then linearized to enable discrete single-step prediction of arm- and phase-level SOC values. A two-stage control scheme is introduced to coordinate inter-arm and inter-phase SOC balancing, significantly reducing the number of state variables involved in the MPC formulation. The proposed method eliminates the need for circulating current reference calculation and control parameter tuning. Simulation results demonstrate that the proposed method takes approximately 17.5 s and 39 s for inter-arm and inter-phase SOC balancing, respectively, while traditional three-level SOC balancing takes approximately 42 s and 88 s. Full article
(This article belongs to the Special Issue Control and Optimization of Power Converters)
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