Power Electronics in Renewable Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 15 May 2025 | Viewed by 2164

Special Issue Editors


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Guest Editor
Department of Energy, Aalborg University, Aalborg, 9220 Aalborg, Denmark
Interests: modeling and control of grid-connected converters; doubly-fed induction generation system; power-to-X, multi-phase motor drive; and battery health management

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Guest Editor
School of Electric Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Interests: power conversion topology; vehicle power conversion system; power electronic

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Guest Editor
Vestas Wind Systems, A/S, 8200 Aarhus, Denmark
Interests: modeling; control; power quality and reliability in power electronics based power systems; power-to-x technology based wind power systems

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Guest Editor
Department of DC Systems Energy Conversion and Storage, Delft University of Technology, 2624 Delft, The Netherlands
Interests: modeling; stability and power quality of power electronics dominated system; application of power electronics in distribution grid; wide band-gap device; energy storage

Special Issue Information

Dear Colleagues,

With the increasing penetration of renewable systems, the role of power electronic converters becomes essential, despite several challenges existing simultaneously. First, for PV and wind power converters, the small-signal and large-signal stability issues are still not fully addressed. Second, the incentive and supportive schemes for the integration of energy storage system and Power-to-X applications need to be further developed and commercialized. Last but not least, the emerging advances of wide-bandgap semiconductors provide an opportunity to improve the power density and the efficiency of the power converters for renewable systems as well as electric vehicles. To showcase the recent progress in power electronics in renewable systems, this Special Issue will include but is not limited to the following topics:

  • New converter topologies in renewable systems;
  • Wide-bandgap devices-based converter design in renewable systems;
  • Stability analysis and enhancement of grid-connected renewable systems;
  • Active grid voltage and frequency support with renewable systems;
  • Power-to-X application with power electronics-based renewable systems;
  • Integration of storage systems for renewables;
  • Power electronics in EV charging and vehicle-to-X systems;
  • Power electronics in battery management system.

Dr. Shan He
Dr. Zhiqing Yang
Dr. Wenzhao Liu
Dr. Zian Qin
Guest Editors

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Keywords

  • renewable energy
  • power converters
  • control stability
  • electric vehicle
  • power-to-X

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Published Papers (2 papers)

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Research

22 pages, 16164 KiB  
Article
Reducing Noise and Impact of High-Frequency Torque Ripple Caused by Injection Voltages by Using Self-Regulating Random Model Algorithm for SynRMs Sensorless Speed Control
by Yibo Guo, Lingyun Pan, Yang Yang, Yimin Gong and Xiaolei Che
Electronics 2024, 13(16), 3327; https://doi.org/10.3390/electronics13163327 - 22 Aug 2024
Viewed by 724
Abstract
For the sensorless control in a low-speed range of synchronous reluctance motors (SynRMs), injecting random high-frequency (HF) square-wave-type voltages has become a widely used and technologically mature method. It can solve the noise problem of traditional injection signal methods. However, all injection signal [...] Read more.
For the sensorless control in a low-speed range of synchronous reluctance motors (SynRMs), injecting random high-frequency (HF) square-wave-type voltages has become a widely used and technologically mature method. It can solve the noise problem of traditional injection signal methods. However, all injection signal methods will cause problems such as torque ripple, which causes speed fluctuations. This article proposes a self-regulating random model algorithm for the random injection signal method, which includes a quantity adaptive module for adding additional random processes, an evaluation module for evaluating torque deviation degree, and an updated model module that is used to receive signals from the other two modules and complete model changes and output random model elements. The main function of this algorithm is to create a model that updates to suppress the evaluation value deviation based on the evaluation situation and outputs an optimal sequence of random numbers, thereby limiting speed bias always in a small range; this can reduce unnecessary changes in the output value of the speed regulator. The feasibility and effectiveness of the proposed algorithm and control method have been demonstrated in experiments based on a 5-kW synchronous reluctance motor. Full article
(This article belongs to the Special Issue Power Electronics in Renewable Systems)
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20 pages, 8084 KiB  
Article
Current-Prediction-Controlled Quasi-Z-Source Cascaded Multilevel Photovoltaic Inverter
by Shanshan Lei, Ningzhi Jin and Jiaxin Jiang
Electronics 2024, 13(10), 1824; https://doi.org/10.3390/electronics13101824 - 8 May 2024
Viewed by 870
Abstract
To address problems that traditional two-stage inverters suffer such as high cost, low efficiency, and complex control, this study adopts a quasi-Z-source cascaded multilevel inverter. Firstly, the quasi-Z-source inverter utilizes a unique impedance network to achieve single-stage boost and inversion without requiring a [...] Read more.
To address problems that traditional two-stage inverters suffer such as high cost, low efficiency, and complex control, this study adopts a quasi-Z-source cascaded multilevel inverter. Firstly, the quasi-Z-source inverter utilizes a unique impedance network to achieve single-stage boost and inversion without requiring a dead zone setting. Additionally, its cascaded multilevel structure enables independent control of each power unit structure without capacitor voltage sharing problems. Secondly, this study proposes a current-predictive control strategy to reduce current harmonics on the grid side. Moreover, the feedback model of current and system state is established, and the fast control of grid-connected current is realized with the deadbeat control weighted by the predicted current deviation. And a grid-side inductance parameter identification is added to improve control accuracy. Also, an improved multi-carrier phase-shifted sinusoidal PWM method is adopted to address the issue of switching frequency doubling, which is caused by the shoot-through zero vector in quasi-Z-source inverters. Finally, the problems of switching frequency doubling and high harmonics on the grid side are solved by the improved deadbeat control strategy with an improved MPSPWM method. And a seven-level simulation model is built in MATLAB (2022b) to verify the correctness and superiority of the above theory. Full article
(This article belongs to the Special Issue Power Electronics in Renewable Systems)
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