Advanced Applications of Power Conversion Systems and Power Generation

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

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 3231

Special Issue Editors

Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, UK
Interests: modeling and control of power electronics converters; high-efficiency power conversion systems; power electronics applications in renewable energy power generation

E-Mail Website
Guest Editor
Department of Energy Technology, Aalborg University, 9220 Aalbog, Denmark
Interests: wind energy; power electronics applications in renewable energy power generations; modern power systems; integrated energy systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, University of Western Australia, 6009 Perth, Australia
Interests: power electronics; electrical machine drives and energy storage for smart grids
Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Interests: power converter; power electronic-based power system; wind power system and energy storage system for smart grid
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With increasing regulatory ambition (e.g., EU green deal) and voluntary (e.g., corporate) commitments for decarbonization, sustainability and low-carbon energy transition have become a major worldwide priority.

Building a renewable-based green power system would be critical to achieving low-carbon energy transition, due to the rapidly increasing electrification taking place across sectors (such as EVs, industrial heat pumps and buildings electric boilers). Power will become the new fuel powering all demand sectors directly or indirectly (e.g., electrolysis-based hydrogen production).

Given this context, this work aims to investigate the ecosystem of new power systems to accommodate high penetration of renewables and integrate distributed energy resources from micro-grids, focusing on how to improve the reliability, efficiency and economics for such a system through optimizing and developing new power electronics solutions.

This Special Issue intends to seek high-quality submissions that present emerging applications and recent breakthroughs in power conversion systems and power generation. The topics covered in this Special Issue include but are not limited to:

  • Advanced power conversion systems and power generation for renewable energies (e.g., solar, wind, and hydrogen);
  • Advanced power conversion systems and power generation for electric vehicles;
  • Advanced power conversion systems and power generation for hydrogen fuel cell vehicles;
  • Advanced power conversion systems for energy storage systems (ESSs);
  • Advanced power conversion systems for biomedical applications;
  • Advanced power conversion systems for smart DC and AC distribution systems;
  • Advanced power conversion systems for smart microgrids;
  • Advanced power conversion systems for electrical drives;
  • Advanced power conversion systems for lighting systems.

Dr. Dong Liu
Prof. Dr. Zhe Chen
Dr. Xinan Zhang
Dr. Yanbo Wang
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.

Keywords

  • Renewable energies (e.g., solar, wind, and hydrogen)
  • Electric vehicles
  • Hydrogen fuel cell vehicles
  • Energy storage systems
  • Biomedical applications
  • DC and AC distribution systems
  • Microgrids
  • Electrical drives
  • Lighting systems

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

27 pages, 13806 KiB  
Article
High-Speed Control of AC Servo Motor Using High-Performance RBF Neural Network Terminal Sliding Mode Observer and Single Current Reconstructed Technique
by Huaizhi Chen and Changxin Cai
Electronics 2022, 11(10), 1646; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11101646 - 21 May 2022
Cited by 2 | Viewed by 2468
Abstract
This paper proposes a phase current reconstruction strategy based on a dc bus using a single current sensor for a surface permanent magnet synchronous motor (SPMSM). The method of a single current sensor reduces the number of mechanical hall sensors and shunt resistors [...] Read more.
This paper proposes a phase current reconstruction strategy based on a dc bus using a single current sensor for a surface permanent magnet synchronous motor (SPMSM). The method of a single current sensor reduces the number of mechanical hall sensors and shunt resistors by using a modified current reconstruction algorithm. The information of rotor position is estimated by the sliding mode observer for its rapid response and strong anti-interference ability, and the observer needs to detect voltage and current components from αβ coordinate system. In order to reduce the buffeting problem of sliding mode observers, an adaptive neural network is introduced, by the way of extracting angle speed estimated values from sliding mode observers, and these values are trained to obtain the compensate angular velocity and minus index value to suppress speed value. The performance of this sensorless speed regulation strategy in the high-speed region using a single current sensor with an optimized adaptive neural network is verified and evaluated by PSIM simulation and experiments. Full article
Show Figures

Figure 1

Back to TopTop