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Energies
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Advanced Design and Optimization in Power Converters and Power Transformers
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Advanced Design and Optimization in Power Converters and Power Transformers

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

Deadline for manuscript submissions: closed (2 July 2024) | Viewed by 9599

Special Issue Editors

Dr. Hanbo Zheng

E-Mail Website
Guest Editor
School of Electrical Engineering, Guangxi University, Nanning 530004, China
Interests: intelligent monitoring and diagnosis of electrical equipment; electrical insulation materials; smart distribution grids
Dr. Gaoxiang Li

E-Mail Website
Guest Editor
School of Electrical Engineering, Guangxi University, Nanning 530004, China
Interests: modeling and control of power electronics; energy management of electric vehicles; new energy generation
Dr. Tuanfa Qin

E-Mail Website
Guest Editor
School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
Interests: smart grid information engineering; wireless multimedia communication
Dr. Kaihong Wang

E-Mail Website
Guest Editor
College of Electrical & New Energy, China Three Gorges University, Yichang 443005, China
Interests: condition monitoring; reliability of power converters

Special Issue Information

Dear Colleagues,

Power conversion technology is widely used in electricity, mobile communications, military, medical, aerospace industries and other fields, involving all walks of life and forms of production. In particular, with the increasing awareness of environmental protection and independent energy security in recent years, many countries have vigorously developed renewable energy sources represented by wind and solar energy, and achieved large-scale grid connection. Power conversion technology plays an important role in the generation, transmission, distribution and equipment, which has significant research value and broad application prospects. So how to realize the efficient operation of power conversion unit under the premise of ensuring the economic reliability of the power system, and how to effectively control the power flow of the power system under the access of high proportion power converters have become the current research hotspot.

At present, both power converters and traditional power transformers have some shortcomings in performance that need to be optimized. For example, the power converters need to be further optimized for improving dynamic and steady-state performance, reducing switching loss and improving electromagnetic isolation ability. The insulation degradation and discharge mechanisms of power transformers under the action of electric-thermal coupling are still ambiguous. These problems are expected to be solved by designing and optimizing the topology structure and control. This Special Issue aims to exchange and discuss the advanced design and optimization technology of power converters and power transformers, power flow control and optimization method for stable and reliable operation of electrical power systems with high proportion power converters. This stimulates the innovative thinking and research enthusiasm of researchers and further promotes the development of power conversion technology and its application in smart grid.

Topics of interest for publication include, but are not limited to the following:

  • Optimized design of power converters and power transformers；
  • Modeling and simulation of power converters and power transformers；
  • Power conversion technology integrated energy storage；
  • Application of power conversion technology in 5G communication base stations scenario；
  • Application of power conversion technology in EVs charging station scenario；
  • Application of power conversion technology in distributed energy resources and microgrids；
  • Application of power conversion technology in ship power systems；
  • Power flow control and optimization method for stable and reliable operation of electrical power systems with high proportion power converters.

Dr. Hanbo Zheng
Dr. Gaoxiang Li
Dr. Tuanfa Qin
Dr. Kaihong 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. 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
  • power transformers
  • wide bandgap semiconductors
  • electrical equipment
  • energy storages
  • photovoltaic
  • 5G communication base stations
  • electric vehicles
  • distributed energy resources
  • renewable energy technologies
  • microgrids
  • fusion of energy and communication technologies

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Published Papers (4 papers)

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Research

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20 pages, 5920 KiB  
Article
An Adaptive, Data-Driven Stacking Ensemble Learning Framework for the Short-Term Forecasting of Renewable Energy Generation
by Hui Huang, Qiliang Zhu, Xueling Zhu and Jinhua Zhang
Energies 2023, 16(4), 1963; https://doi.org/10.3390/en16041963 - 16 Feb 2023
Cited by 5 | Viewed by 1626
Abstract
With the increasing integration of wind and photovoltaic power, the security and stability of the power system operations are greatly influenced by the intermittency and fluctuation of these renewable sources of energy generation. The accurate and reliable short-term forecasting of renewable energy generation [...] Read more.
With the increasing integration of wind and photovoltaic power, the security and stability of the power system operations are greatly influenced by the intermittency and fluctuation of these renewable sources of energy generation. The accurate and reliable short-term forecasting of renewable energy generation can effectively reduce the impacts of uncertainty on the power system. In this paper, we propose an adaptive, data-driven stacking ensemble learning framework for the short-term output power forecasting of renewable energy. Five base-models are adaptively selected via the determination coefficient (R2) indices from twelve candidate models. Then, cross-validation is used to increase the data diversity, and Bayesian optimization is used to tune hyperparameters. Finally, base modes with different weights determined by minimizing the cross-validation error are ensembled using a linear model. Four datasets in different seasons from wind farms and photovoltaic power stations are used to verify the proposed model. The results illustrate that the proposed stacking ensemble learning model for renewable energy power forecasting can adapt to dynamic changes in data and has better prediction precision and a stronger generalization performance compared to the benchmark models. Full article
(This article belongs to the Special Issue Advanced Design and Optimization in Power Converters and Power Transformers)
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13 pages, 1163 KiB  
Article
Wireless Multi-Node uRLLc B5G/6G Networks for Critical Services in Electrical Power Systems
by Ying Zhang, Wenwen Wang, Huan Xie, Shu Du, Mei Ma and Qi Zeng
Energies 2022, 15(24), 9437; https://doi.org/10.3390/en15249437 - 13 Dec 2022
Cited by 1 | Viewed by 1691
Abstract
The successful operations of power system require the support of communication networks with massive nodes access and two-way reliable and latency-critical transmission, which is the most-important use case of ultra-reliable low-latency communications (uRLLc) in the Fifth-Generation and Beyond and Sixth-Generation (B5G/6G) networks. In [...] Read more.
The successful operations of power system require the support of communication networks with massive nodes access and two-way reliable and latency-critical transmission, which is the most-important use case of ultra-reliable low-latency communications (uRLLc) in the Fifth-Generation and Beyond and Sixth-Generation (B5G/6G) networks. In this paper, based on the orthogonal frequency division multiplexing (OFDM) signal in 5G, a new OFDM employing the hopped subcarrier technique (OFDM/FH) is proposed to attain the multiple nodes connectivity and the enhancement of transmission reliability. Considering the short and bursty packet types in the control information of power systems, the OFDM/FH signal can be naturally integrated with the mini-slot frame structure and automatic repeat request (ARQ) scheduling scheme to reduce the latency. The trade-off between the reliability in terms of the bit-error rate (BER) and the retransmission latency is investigated by semi-analytic simulations. Through the new joint design of the signal waveform and frame structure for uRLLc, we find that the proposed system can attain up to 99.999% reliability and ms-level latency for electric power services, even in the harsh wireless environment. Full article
(This article belongs to the Special Issue Advanced Design and Optimization in Power Converters and Power Transformers)
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12 pages, 4664 KiB  
Communication
Efficiency Improvement of an Electric-Grid Transformer Using the Diamagnetism Characteristics of a Bulk Superconductor
by Daniel Shaked and Eldad Holdengreber
Energies 2022, 15(19), 7146; https://doi.org/10.3390/en15197146 - 28 Sep 2022
Cited by 1 | Viewed by 1736
Abstract
An innovative method to improve the efficiency of a single-phase electric-grid 125 kVA, 50 Hz shell type and distribution transformer is presented. The diamagnetism characteristic of a bulk high-temperature superconductor (HTS), designed in a specific dimension, is used to construct a magnetic shield [...] Read more.
An innovative method to improve the efficiency of a single-phase electric-grid 125 kVA, 50 Hz shell type and distribution transformer is presented. The diamagnetism characteristic of a bulk high-temperature superconductor (HTS), designed in a specific dimension, is used to construct a magnetic shield around the air gaps that form between the core joints and among the coils of the transformer. Consequently, the shielded flux engages the core area and increases the flux density in the core, resulting in an increase in the output power, and hence an improved transformer efficiency. The transformer was designed and simulated using advanced electromagnetic software. Simulation results indicate that the width and thickness of the HTS material, as its precise location placed on the air gaps around the core and the coils, can be a substantial factor in generating a magnetic shield that results in an efficiency improvement, superior compared to conventional transformers. The most enhanced performance was received for HTS thickness of 2.6 mm, around 2.4% output power improvement compared with a conventional transformer model. In a transformer of this type that efficiency improvement can lead to great energy savings, around 10,000 kWh for half a year of working under load. Full article
(This article belongs to the Special Issue Advanced Design and Optimization in Power Converters and Power Transformers)
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Review

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31 pages, 6001 KiB  
Review
State-of-Art Review on Chemical Indicators for Monitoring the Aging Status of Oil-Immersed Transformer Paper Insulation
by Enze Zhang, Jiang Liu, Chaohai Zhang, Peijun Zheng, Yosuke Nakanishi and Thomas Wu
Energies 2023, 16(3), 1396; https://doi.org/10.3390/en16031396 - 30 Jan 2023
Cited by 15 | Viewed by 3498
Abstract
Chemical compounds dissolved in insulating oil, as indicators can excellently monitor the paper aging condition, which has attracted increasing interest in areas of transformer condition monitoring and fault diagnosis. Because of their outstanding features, such as good correlation with the degree of polymerization [...] Read more.
Chemical compounds dissolved in insulating oil, as indicators can excellently monitor the paper aging condition, which has attracted increasing interest in areas of transformer condition monitoring and fault diagnosis. Because of their outstanding features, such as good correlation with the degree of polymerization of cellulose paper and the aid of non-destructive online monitoring, chemical indicators have been effectively used for transformer condition assessment. In this study, a comprehensive, in-depth insight into the indicators of the aging of insulating paper from aging characteristics, physico-chemical characteristics, shortcomings of various compounds, generation pathways and mechanisms, and monitoring technologies are provided. It is expected that these chemical indicators can provide better guidance for the evaluation of paper insulation performance and transformer aging. In addition, the latest research progress, as well as current challenges and future prospects are also outlined. This study provides a theoretical basis and reference for chemical indicators in the fields of microscopic formation mechanism, diffusion equilibrium phenomenon, and insulation aging state assessment. Full article
(This article belongs to the Special Issue Advanced Design and Optimization in Power Converters and Power Transformers)
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