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Electrical Engineering and Green Energy
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Electrical Engineering and Green Energy

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

Deadline for manuscript submissions: closed (20 October 2021) | Viewed by 6921

Special Issue Editors

Prof. Dr. Zhou Liu

E-Mail Website
Guest Editor
Department of Energy Technology, Aalborg University, Aalborg, Denmark
Interests: power system modelling and simulation; power system protection and control; smart grid technology; renewable energy
Prof. Dr. Hassan Bevrani

E-Mail Website
Assistant Guest Editor
Faculty of Engineering, University of Kurdistan, Sanandaj, Iran
Interests: smart/micro grids control; digital electronics systems; power system monitoring and control; feedback and stabilizer design in electronics systems

Special Issue Information

Dear Colleagues,

The 4th International Conference on Electrical Engineering and Green Energy (CEEGE), will take place in Munich, Germany from June 10–13, 2021. Energy is a vital commodity that sustains human lives, as well as economic processes. At the same time, energy demand, supply and generation contribute to various environmental challenges, such as climate change, fossil fuel resource depletion and air pollution.

CEEGE 2021 seeks to promote and disseminate knowledge on the various topics and technologies of electrical engineering and green energy. The conference aims to serve researchers, engineers, economists, manufacturers, NGOs, associations and societies to help them keep abreast of new developments in their specialist fields and to apply alternative energy solutions to current practices.

This Special Issue seeks papers in the areas of power and energy; electronics and control; communications and digital signal processing applied in electrical engineering. The Special Issue welcomes both qualitative and quantitative studies, as well as empirical and theoretical contributions.

Prof. Dr. Zhou Liu
Guest Editor

Prof. Dr. Hassan Bevrani
Assistant Guest Editor

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

  • energy conversions
  • renewable energy sources
  • power electronics
  • electrical power systems
  • biomedical electronics
  • semiconductor materials
  • smart grid
  • micro-grid
  • e-mobility
  • techno-economics of energy processes
  • electro-mechanical energy conversion processes
  • electro-chemical energy conversion processes
  • modelling and control of sustainable energy systems and processes

Published Papers (2 papers)

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Research

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18 pages, 53885 KiB  
Article
A Frequency Decomposition-Based Hybrid Forecasting Algorithm for Short-Term Reactive Power
by Jiabao Du, Changxi Yue, Ying Shi, Jicheng Yu, Fan Sun, Changjun Xie and Tao Su
Energies 2021, 14(20), 6606; https://doi.org/10.3390/en14206606 - 13 Oct 2021
Cited by 3 | Viewed by 1290
Abstract
This paper proposes a new frequency decomposition-based hybrid reactive power forecasting algorithm, EEMD-LSTM-RFR (ELR), which adopts a strategy of frequency decomposition prediction after ensemble empirical mode decomposition and then data reconstruction to improve the prediction ability of reactive power. This decomposition process can [...] Read more.
This paper proposes a new frequency decomposition-based hybrid reactive power forecasting algorithm, EEMD-LSTM-RFR (ELR), which adopts a strategy of frequency decomposition prediction after ensemble empirical mode decomposition and then data reconstruction to improve the prediction ability of reactive power. This decomposition process can compress the high frequency of reactive power and benefits the following separate forecasting. Long short-term memory is proposed for the high-frequency feature of reactive power to deal with the forecasting difficulty caused by strong signal disturbance and randomness. In contrast, random forest regression is applied to the low-frequency part in order to speed up the forecasting. Four classical algorithms and four hybrid algorithms based on different signal decompositions are compared with the proposed algorithm, and the results show that the proposed algorithm outperforms those algorithms. The predicting index RMSE decreases to 0.687, while the fitting degree R2 gradually approaches 1 with a step-by-step superposition of high-frequency signals, indicating that the proposed decomposition-predicting reconstruction strategy is effective. Full article
(This article belongs to the Special Issue Electrical Engineering and Green Energy)
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Review

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34 pages, 1742 KiB  
Review
Induction Heating in Domestic Cooking and Industrial Melting Applications: A Systematic Review on Modelling, Converter Topologies and Control Schemes
by Pradeep Vishnuram, Gunabalan Ramachandiran, Thanikanti Sudhakar Babu and Benedetto Nastasi
Energies 2021, 14(20), 6634; https://doi.org/10.3390/en14206634 - 14 Oct 2021
Cited by 30 | Viewed by 5125
Abstract
In the current scenario, power electronic device-based induction heating (IH) technologies are widely employed in domestic cooking, industrial melting and medical applications. These IH applications are designed using different converter topologies, modulation and control techniques. This review article mainly focuses on the modelling [...] Read more.
In the current scenario, power electronic device-based induction heating (IH) technologies are widely employed in domestic cooking, industrial melting and medical applications. These IH applications are designed using different converter topologies, modulation and control techniques. This review article mainly focuses on the modelling of half-bridge series resonant inverter, electrical and thermal model of IH load. This review also analyses the performance of the converter topologies based on the power conversion stages, switching frequency, power rating, power density, control range, modulation techniques, load handling capacity and efficiency. Moreover, this paper provides insight into the future of IH application, with respect to the adaptation of wide band-gap power semiconductor materials, multi-output topologies, variable-frequency control schemes with minimum losses and filters designed to improve source-side power factor. With the identified research gap in the literature, an attempt has also been made to develop a new hybrid modulation technique, to achieve a wide range of power control with high efficiency. A 100 W full-bridge inverter prototype is realised both in simulation and hardware, with various modulation schemes using a PIC16F877A microcontroller. The results are compared with existing techniques and the comparisons reveal that the proposed scheme is highly viable and effective for the rendered applications. Full article
(This article belongs to the Special Issue Electrical Engineering and Green Energy)
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