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Smart Distributed Generation Systems
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Smart Distributed Generation Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: 5 September 2024 | Viewed by 2688

Special Issue Editors

Prof. Dr. Andrey A. Kurkin

E-Mail Website
Guest Editor
Department of Applied Mathematics, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603155 Nizhny Novgorod, Russia
Interests: numerical simulation; numerical modeling; fluid mechanics; CFD simulation; engineering, applied, and computational mathematics; renewable energy sources; power systems; wave farms; modeling and simulation; numerical analysis; engineering, applied and computational mathematics; engineering thermodynamics; aerodynamics; computational fluid dynamics
Special Issues, Collections and Topics in MDPI journals
Dr. Dauren S. Akhmetbayev

E-Mail Website
Guest Editor
Faculty of Energy, Saken Seifullin Kazakh Agrotechnical University, Astana, Kazakhstan
Interests: power systems; modeling of steady-state and transient-state conditions and control algorithms
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In modern conditions, uninterrupted power is the most important factor in ensuring energy security. This Special Issue on “Smart Distributed Generation Systems” is devoted to the problems of ensuring reliable and efficient power supply to critical infrastructure consumers. Depending on the power, location, and other conditions, the power supply of such consumers can be carried out both from large power plants (centralized electrical network) and distributed generation and energy storage systems. Power sources both on hydrocarbon and carbon-containing fuels that meet the requirements for efficiency and reliability and alternative energy sources that provide high environmental friendliness can be used. It is also extremely important to address the issues of managing the electrical energy, the functioning of protection systems, and ensuring their cybersecurity.

Prof. Dr. Andrey A. Kurkin
Dr. Dauren S. Akhmetbayev
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 supply
  • distributed generation
  • renewable energy sources
  • smart grid
  • energy storage systems
  • cybersecurity
  • power converters

Published Papers (2 papers)

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Research

19 pages, 6090 KiB  
Article
Decision Tree Models and Machine Learning Algorithms in the Fault Recognition on Power Lines with Branches
by Aleksandr Kulikov, Anton Loskutov, Dmitriy Bezdushniy and Ilya Petrov
Energies 2023, 16(14), 5563; https://doi.org/10.3390/en16145563 - 23 Jul 2023
Cited by 1 | Viewed by 1155
Abstract
The complication of the structure, topology and composition of the future electrical networks is characterized by difficult-to-recognize circuit-mode situations and requires modern methods for analyzing information parameters. The growing trend of digitizing signals in substations and the use of the IEC 61850 standard [...] Read more.
The complication of the structure, topology and composition of the future electrical networks is characterized by difficult-to-recognize circuit-mode situations and requires modern methods for analyzing information parameters. The growing trend of digitizing signals in substations and the use of the IEC 61850 standard results in a huge amount of new data available at the nodes of the electrical network. The development and analysis of new methods for detecting and recognizing the modes of electrical networks (normal and emergency) are topical research issues. The article explores a new approach to recognizing a faulted section of an electrical network with branches by concurrently analyzing several information features and applying machine learning methods: decision tree, random forest, and gradient boosting. The application of this approach for decision-making by relay protection has not been previously implemented. Simulation modeling and the Monte Carlo method are at the heart of obtaining training samples. The results of testing the studied methods under review showed the required flexibility, the ability to use a large number of information parameters, as well as the best results of fault recognition in comparison with the distance protection relay. Full article
(This article belongs to the Special Issue Smart Distributed Generation Systems)
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18 pages, 7769 KiB  
Article
Developing a Simulation Model to Numerically Estimate Energy Parameters and Wave Energy Converter Efficiency of a Floating Wave Power Plant
by Maxim Zhelonkin, Andrey Kurkin, Alexey Loskutov, Alexander Plekhov, Dmitry Malyarov and Evgeny Kryukov
Energies 2023, 16(10), 4150; https://doi.org/10.3390/en16104150 - 17 May 2023
Cited by 2 | Viewed by 1014
Abstract
The significance of coastal zone object protection using wave electrical energy complexes (WEECs) is dealt with. The authors suggest using a floating wave power plant (FWPP), which comprises electrical energy functions and provides coastal zone protection. Features of simulating FWPP in computational fluid [...] Read more.
The significance of coastal zone object protection using wave electrical energy complexes (WEECs) is dealt with. The authors suggest using a floating wave power plant (FWPP), which comprises electrical energy functions and provides coastal zone protection. Features of simulating FWPP in computational fluid dynamics (CFD) modules are considered. The main simulation stages, construction order, the necessary initial and boundary conditions, calculation objectives and results are described and analyzed. Analysis and adjustment of input parameters (wave amplitude, wave disturbance frequency, FWPP geometric parameters) determining the FWPP fluid flow output parameters (dynamic, total pressure, flow rate, flow velocity) were carried out. Calculation process optimization was carried out by comparing the data obtained using a 2-D solver. The main stages of wave disturbances-with-FWPP-structure interaction have been determined. Epures of flow velocity, pressure, flow path and volume flow rate were constructed and analyzed. Full article
(This article belongs to the Special Issue Smart Distributed Generation Systems)
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