Recent Studies on Optimization in Electric Energy Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 945

Special Issue Editor

Dr. Yanbo Wang
E-Mail Website
Guest Editor
Department of AAU Energy, Aalborg University, 9000 Aalborg, Denmark
Interests: integrated energy system; microgrid; wind power system; power to X technology

Special Issue Information

Dear Colleagues,

New emerging optimization, operation, and control technology of electric energy systems is being rapidly developed to exploit the full potential of renewable energy sources and to meet the needs of green energy systems and a cost-effective energy supply. This Special Issue intends to develop and report new ideas and advances in the fields of optimization, operation, and control strategies of energy systems including integrated multi-energy systems and electric energy systems from design, with a focus ranging from theory to their practical use. The main topics relevant to optimization in energy system include, but are not limited to, the following:

  • Modeling, optimization, monitoring, optimal operation, and control of energy systems including integrated multi-energy systems and electric energy systems.  
  • A coordinated control strategy, monitoring and management of energy systems.
  • Resilience, stability, and reliability of energy systems.
  • Application of artificial intelligence machine learning and deep learning in energy systems.
  • Data science, big data, digital signal process applications and algorithms in the optimization, monitoring and control of energy systems.
  • Advanced economic optimal scheduling of energy systems.
  • Modelling, optimization, and control of regional energy systems with high penetration of electric vehicles and hydrogen subsystem.
  • Advanced modelling, optimization, and control of power to X technology.
  • Optimization and management for an energy market equilibrium.

Dr. Yanbo Wang
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. Applied Sciences 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.

Published Papers (1 paper)

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Research

25 pages, 11115 KiB  
Article
Total Harmonic Distortion Reduction in Multilevel Inverters through the Utilization of the Moth–Flame Optimization Algorithm
Appl. Sci. 2023, 13(21), 12060; https://doi.org/10.3390/app132112060 - 05 Nov 2023
Viewed by 713
Abstract
This paper shows the implementation of the Moth–Flame Optimization algorithm in a Cascade-H multilevel inverter with five and seven levels to determine the optimal switching sequence of the inverter’s semiconductor devices. The algorithm was coded in Matlab software, and the obtained switching sequences [...] Read more.
This paper shows the implementation of the Moth–Flame Optimization algorithm in a Cascade-H multilevel inverter with five and seven levels to determine the optimal switching sequence of the inverter’s semiconductor devices. The algorithm was coded in Matlab software, and the obtained switching sequences were implemented in a Cascade-H multilevel inverter laboratory prototype, where the output voltage waveform was obtained using a digital oscilloscope. The experimental Total Harmonic Distortion was obtained using a power quality analyzer. The experimental results show the improvement of the Total Harmonic Distortion in the voltage output. These results were compared with other papers in the literature with different metaheuristic methods concerning the same modulation. These findings demonstrate the feasibility of employing the Moth–Flame Optimization Algorithm to significantly reduce the Total Harmonic Distortion, obtaining a lower value than most analyzed papers. Full article
(This article belongs to the Special Issue Recent Studies on Optimization in Electric Energy Systems)
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