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Modeling, Control and Simulation of Power Electronic Converters for the Power Gird Application

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: 30 July 2026 | Viewed by 2010

Special Issue Editors

School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
Interests: modeling; control and simulation of power electronics converters for the power gird application; the high voltage direct current (HVDC) transmission system; hybrid microgrid
Special Issues, Collections and Topics in MDPI journals
School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
Interests: intelligent hybrid microgrids; electric vehicle power systems (electric drive, conductive/wireless charging systems); renewable energy conversion/distributed generation systems (photovoltaic systems, fuel cell systems, energy storage systems); high-efficiency power electronic topologies; modulation and control technologies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Modern power systems are undergoing an unprecedented transformation propelled by renewable energy integration, distributed generation, and active grid management. Power electronic converters (PECs) stand as critical technological enablers, facilitating efficient, flexible, and reliable interfacing and control across diverse power generation assets and grid infrastructure. However, realizing the full potential of PECs—from large-scale HVDC systems and grid-forming converters to distributed energy resource interfaces—demands significant advancements in their modeling, control strategies, and simulation methodologies.

This Special Issue focuses on addressing the fundamental challenges associated with the application of PECs in increasingly complex and dynamic power grids. Key drivers include the imperative for enhanced grid stability amid high penetration of inverter-based resources (IBRs), the need for robust fault management and resilience across multi-terminal DC networks, and the optimization of overall system performance through sophisticated converter-level functionalities. Bridging the gap between device-level innovations (e.g., wide-bandgap semiconductors) and system-level requirements necessitates novel, high-fidelity modeling techniques, intelligent and adaptive control algorithms, and computationally efficient yet accurate simulation frameworks.

We invite high-quality original research papers and comprehensive reviews that explore cutting-edge solutions in the following key thematic areas, all specifically focused on grid applications:

Advanced Modeling:

  • Multi-physics/multi-time scale modeling of PECs (device–circuit control system).
  • Black-box/white-box/grey-box modeling for stability analysis (e.g., impedance-based techniques).
  • Modelling of converter interactions in AC/DC hybrid grids.
  • Representation of converter dynamics during faults and transients.
  • Modelling of emerging topologies (MMC variants, solid-state transformers, direct AC/AC converters).

Intelligent Control Strategies:

  • Advanced control for grid-forming and grid-supporting converters (optimized virtual inertia, robust frequency/voltage regulation).
  • Coordinated control strategies for converter clusters, MVDC/HVDC systems, and hybrid AC/DC grids.
  • Fault ride-through (FRT) and fault management strategies under diverse grid conditions.
  • Resilient and adaptive control for grid restoration and black-start.
  • AI/ML-enhanced converter control for optimization, diagnostics, and security.

Innovative Simulation Methods:

  • Real-time simulation (RTS) and hardware-in-the-loop (HIL) testing techniques for grid-connected converters.
  • Development and validation of computationally efficient models for large-scale system studies.
  • Co-simulation frameworks integrating electromagnetic transients (EMTs), transient stability (TS), and optimal power flow (OPF) tools.
  • Digital twins for converter monitoring, control optimization, and lifetime prediction.

The primary goal of this Special Issue is to compile state-of-the-art research that not only advances the fundamental understanding of PEC behavior in grid scenarios, but provides practical methodologies and tools to address the evolving challenges in the design, deployment, and operation of future power grids. We particularly seek contributions that demonstrate strong theoretical rigor combined with practical validation and address the needs for stability, reliability, and efficiency in modern power systems.

Potential authors are encouraged to submit manuscripts describing novel, unpublished contributions that significantly advance the frontiers of power electronics modeling, control, and simulation specifically for power grid applications.

Dr. Can Wang
Dr. Xuewei Pan
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. 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 systems
  • renewable energy integration
  • power electronic converters
  • grid management
  • power grid

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Published Papers (3 papers)

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Research

22 pages, 3340 KB  
Article
Power Control in an On-Board Photovoltaic Converter Using Disturbance Trend Prediction
by Tomasz Binkowski, Paweł Szcześniak, Piotr Powroźnik, Paweł Pijarski and David Gacio
Energies 2026, 19(11), 2589; https://doi.org/10.3390/en19112589 - 27 May 2026
Viewed by 169
Abstract
The paper presents a fast adaptive power control with implicit predictive behavior for an on-board power converter operating in support of a 400 Hz aircraft electrical network. Accurate control of active and reactive power in such high-frequency networks requires precise estimation of the [...] Read more.
The paper presents a fast adaptive power control with implicit predictive behavior for an on-board power converter operating in support of a 400 Hz aircraft electrical network. Accurate control of active and reactive power in such high-frequency networks requires precise estimation of the network voltage phase, frequency, and amplitude. Therefore, a proposed adaptive phase-locked loop (PLL) algorithm is integrated with a proportional resonant current controller (PR). The adaptive PLL continuously estimates the instantaneous phase, frequency, and amplitude of the fundamental voltage component, enabling fast synchronization and dynamic adjustment of the PR controller resonant frequency. Consequently, the combination familiarises anticipatory response characteristics with the control loop without the need for computationally intensive model predictive control algorithms. The simulation results demonstrate that the proposed method significantly reduces the synchronization time, maintains high accuracy under frequency variations and harmonic distortion, and exhibits robustness against measurement noise. Furthermore, the modular and computationally efficient structure of the algorithm makes it suitable for real-time implementation of FPGA. The proposed approach provides an effective solution for high-performance power management in aircraft electrical systems, ensuring precise power control under hard dynamic conditions. Full article
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22 pages, 4425 KB  
Article
Morris-Based Optimization of Battery Energy Storage System Control Parameters Under High Wind Energy Penetration
by Meng-Hui Wang, Yi-Cheng Chen, Chun-Chun Hung and Hong-Wei Sian
Energies 2026, 19(3), 827; https://doi.org/10.3390/en19030827 - 4 Feb 2026
Viewed by 552
Abstract
As wind penetration rises, the share of synchronous generation declines, reducing system inertia and increasing uncertainty in frequency stability; wind-output disturbances, power-electronic control characteristics, and stochastic load variations can further amplify frequency deviations caused by power imbalance. To improve frequency security under high [...] Read more.
As wind penetration rises, the share of synchronous generation declines, reducing system inertia and increasing uncertainty in frequency stability; wind-output disturbances, power-electronic control characteristics, and stochastic load variations can further amplify frequency deviations caused by power imbalance. To improve frequency security under high wind penetration, this study optimizes BESS control parameters and evaluates their impact on system dynamic stability using a PSS®E V34 dynamic model of the IEEE New England 39-bus system that includes three wind turbines and two BESS units under four disturbance scenarios: (i) derating one turbine to 50%, (ii) tripping one turbine, (iii) derating all three turbines to 50%, and (iv) an N-1 contingency corresponding to the tripping of the largest conventional generator in the system. Morris sensitivity analysis is first applied to identify key parameters affecting frequency response and reduce the optimization dimension, and the selected parameters are then tuned using an improved genetic algorithm (IGA) and grey wolf optimization (GWO). Simulation results show the minimum frequency improves from 59.957 Hz (baseline) to 59.961 Hz with IGA and to 59.966 Hz with GWO, while the maximum equivalent power-angle difference in the BESS unit relative to the center of inertia decreases from 266.3° to 250.1° (IGA) and 251.2° (GWO), indicating that the proposed approach strengthens BESS frequency support and enhances dynamic stability under various wind-power and N-1 contingency disturbance conditions. Full article
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19 pages, 2675 KB  
Article
Multi-Time-Scale Optimization and Control Method for High-Penetration Photovoltaic Electrolytic Aluminum Plants
by Lixin Wu, Qunhai Huo, Qiran Liu, Jingyuan Yin and Jie Yang
Energies 2025, 18(21), 5840; https://doi.org/10.3390/en18215840 - 5 Nov 2025
Cited by 2 | Viewed by 855
Abstract
In response to the high energy consumption and carbon emission issues in the electrolytic aluminum industry, this paper proposes a multi-time-scale optimization and control method for electrolytic aluminum plants with high photovoltaic penetration. First, a plant architecture is established, which includes traditional power [...] Read more.
In response to the high energy consumption and carbon emission issues in the electrolytic aluminum industry, this paper proposes a multi-time-scale optimization and control method for electrolytic aluminum plants with high photovoltaic penetration. First, a plant architecture is established, which includes traditional power systems, renewable energy systems, and electrolytic aluminum loads. A mathematical model for flexible resources such as thermal power units, on-load tap-changing transformers, thyristor-controlled voltage regulators, saturable reactors, and electrolytic cells is developed. Based on this, a two-level optimization control strategy is designed, consisting of a day-ahead and real-time control layer: the day-ahead layer targets economic and low-carbon operation, while the real-time layer aims to stabilize the DC bus voltage. Using actual data from an electrolytic aluminum plant in Southwest China, simulations are conducted on the MATLAB 2021a platform, and the effectiveness of the strategy is verified through hardware-in-the-loop experiments. The results demonstrate that the proposed method can effectively increase the photovoltaic utilization rate, reduce thermal power output and operational costs, and decrease carbon emissions, providing a feasible solution for the green and low-carbon transformation of the electrolytic aluminum industry. Full article
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