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Information
Special Issues
Information Applications in the Energy Sector
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Information Applications in the Energy Sector

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".

Deadline for manuscript submissions: closed (28 November 2024) | Viewed by 22821

Special Issue Editors

Prof. Dr. Flyur Ismagilov

E-Mail Website
Guest Editor
Department of Electromechanics, Ufa State Aviation Technical University, 450077 Ufa, Russia
Interests: electrotechnical complexes and systems; power industry; electric vehicles
Prof. Dr. Jing Ou

E-Mail Website
Guest Editor
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Interests: electrical machines; high-speed motor; servo motor; motor control; novel electromagnetic materials

Special Issue Information

Dear Colleagues,

Ufa State Aviation Technical University holds the annual International Scientific Conference "Electrical Complexes and Systems" as part of the Russian Energy Forum. The conference is being held for the 18th time and brings together issues in the field of electrical complexes and systems, electromechanics, electric power, electrical equipment, electric transport and aircraft electrical equipment, alternative energy and modern information and digital technologies in the energy sector.

We are glad to be part of a large scientific team and to keep up with the times, developing new approaches and systems, including the application of new information technologies in engineering tasks.

Particularly important in the development of science and technology is the development of cooperation at an international level to improve global competencies.

This Special Issue will feature extended versions of selected papers.

Prof. Dr. Flyur Ismagilov
Prof. Dr. Jing Ou
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. Information is an international peer-reviewed open access monthly 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 1600 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

  • electrotechnical complexes and systems
  • electromechanics and electrical devices
  • aircraft electrical equipment
  • electric vehicles
  • power industry
  • alternative energy
  • modern information and digital technologies in the energy sector

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

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18 pages, 1778 KiB  
Article
Constrained Static/Dynamic Economic Emission Load Dispatch Using Elephant Herd Optimization
by Rajagopal Peesapati, Yogesh Kumar Nayak, Swati K. Warungase and Surender Reddy Salkuti
Information 2023, 14(6), 339; https://doi.org/10.3390/info14060339 - 15 Jun 2023
Cited by 4 | Viewed by 1860
Abstract
The rapid growth in greenhouse gases (GHGs), the lack of electricity production, and an ever-increasing demand for electrical energy requires an optimal reduction in coal-fired thermal generating units (CFTGU) with the aim of minimizing fuel costs and emissions. Previous approaches have been unable [...] Read more.
The rapid growth in greenhouse gases (GHGs), the lack of electricity production, and an ever-increasing demand for electrical energy requires an optimal reduction in coal-fired thermal generating units (CFTGU) with the aim of minimizing fuel costs and emissions. Previous approaches have been unable to deal with such problems due to the non-convexity of realistic scenarios and confined optimum convergence. Instead, meta-heuristic techniques have gained more attention in order to deal with such constrained static/dynamic economic emission load dispatch (ELD/DEELD) problems, due to their flexibility and derivative-free structures. Hence, in this work, the elephant herd optimization (EHO) technique is proposed in order to solve constrained non-convex static and dynamic ELD problems in the power system. The proposed EHO algorithm is a nature-inspired technique that utilizes a new separation method and elitism strategy in order to retain the diversity of the population and to ensure that the fittest individuals are retained in the next generation. The current approach can be implemented to minimize both the fuel and emission cost functions of the CFTGUs subject to power balance constraints, active power generation limits, and ramp rate limits in the system. Three test systems involving 6, 10, and 40 units were utilized to demonstrate the effectiveness and practical feasibility of the proposed algorithm. Numerical results indicate that the proposed EHO algorithm exhibits better performance in most of the test cases as compared to recent existing algorithms when applied to the static and dynamic ELD issue, demonstrating its superiority and practicability. Full article
(This article belongs to the Special Issue Information Applications in the Energy Sector)
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Review

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32 pages, 4231 KiB  
Review
A Review of Time-Based Solar Photovoltaic Tracking Systems
by Abdulwaheed Musa, Emmanuel Alozie, Suleiman A. Suleiman, John Adedapo Ojo and Agbotiname Lucky Imoize
Information 2023, 14(4), 211; https://doi.org/10.3390/info14040211 - 30 Mar 2023
Cited by 25 | Viewed by 19865
Abstract
Solar energy is the cleanest and most abundant form of energy that can be obtained from the Sun. Solar panels convert this energy to generate solar power, which can be used for various electrical purposes, particularly in rural areas. Maximum solar power can [...] Read more.
Solar energy is the cleanest and most abundant form of energy that can be obtained from the Sun. Solar panels convert this energy to generate solar power, which can be used for various electrical purposes, particularly in rural areas. Maximum solar power can be generated only when the Sun is perpendicular to the panel, which can be achieved only for a few hours when using a fixed solar panel system, hence the development of an automatic solar tracking system. Over the years, different solar tracking systems have been proposed and developed, and a few have been reviewed in the literature. However, the existing review works have not adequately provided a comprehensive survey and taxonomies of these solar tracking systems to show the trends and possible further research direction. This paper aims to bridge these gaps by extensively reviewing these time-based solar tracking systems based on axis rotation and drive types. Lessons learned from the comprehensive review have been highlighted and discussed. Finally, critical open research issues are identified and elaborated. Full article
(This article belongs to the Special Issue Information Applications in the Energy Sector)
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