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Distributed Generation Power Systems II
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Distributed Generation Power Systems II

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F2: Distributed Energy System".

Deadline for manuscript submissions: closed (5 April 2023) | Viewed by 2552

Special Issue Editor

Dr. Zsolt Čonka

E-Mail Website
Guest Editor
Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Technical University of Kosice (Technicka univerzita v Kosiciach), Kosice, Slovakia
Interests: skills and expertise electrical; electrical power engineering; power systems analysis; power generation; power systems simulation power engineering; distributed generation power systems modelling; power quality power system stability; FACTS; WAMS; power system protection and control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The electrical power system is going through a revolution. Distributed production has become more widespread in recent years. Distributed generations are installations for the generation of electricity which are used to convert various sources of energy into electricity. The source that we classify as distributed is usually a part of the customer's equipment in which one or more generators are located. Distributed sources of electricity usually represent renewable sources or combined production of electricity and heat, whose technology and nature of production also influence the behavior of sources at the time of failure. The number of distributed sources is high compared to the past and has a growing trend. Rated active powers are in the order from tens up to hundreds of kW. These sources are usually connected to the LV voltage level. Rated outputs of MW units are connected to HV networks.

An increase of decentralized sources may lead to new problems with the operation of distribution and transmission systems. Solutions for problems related with decentralized production are welcome.

Dr. Zsolt Čonka
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

  • distributed energy resources (DER)
  • management of distributed generation power systems (DGPS)
  • protection of DGPS
  • storage systems
  • electric vehicles
  • renewable energy sources
  • inverters
  • optimization of der
  • microgrid
  • smart grid
  • power flow in dgps
  • integration of der
  • forecast
  • stability od dgps
  • power quality in dgps
  • cogeneration

Published Papers (2 papers)

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Research

18 pages, 3250 KiB  
Article
Control of Operational Modes of an Urban Distribution Grid under Conditions of Uncertainty
by Saidjon Shiralievich Tavarov, Alexander Sidorov, Zsolt Čonka, Murodbek Safaraliev, Pavel Matrenin, Mihail Senyuk, Svetlana Beryozkina and Inga Zicmane
Energies 2023, 16(8), 3497; https://doi.org/10.3390/en16083497 - 17 Apr 2023
Cited by 1 | Viewed by 980
Abstract
The article is devoted to solving the problem of managing the mode parameters of an urban electrical network in case of a discrepancy between the actual electrical load and the specific load. Such an issue leads to a deviation of the parameters, in [...] Read more.
The article is devoted to solving the problem of managing the mode parameters of an urban electrical network in case of a discrepancy between the actual electrical load and the specific load. Such an issue leads to a deviation of the parameters, in particular, voltage asymmetry in phases due to current asymmetry. To optimize the mode parameters, it is required that the effective value of the electrical load corresponds as much as possible to the values of the specific electrical load. This depends on the following: actual power consumption, external (climatic and meteorological) factors, internal factors (structural design of residential buildings, uneven load when distributed over the phases of three-phase lines and inputs, different number of electrical receivers for consumers), and the provision of consumers with other sources of energy (both gas and heat supply, and hot water supply). To establish the influencing factors on the actual power consumption, it is proposed to generalize the uncertainty accounting coefficient which generalizes both more well-known and less considered factors. Therefore, the authors propose models for determining the electrical loads based on the possibility of assessing the mode parameters of the electrical network by electrical loads. The accuracy of the proposed models is based on the use of the proposed forecasting method considering the actual power consumption and the generalized uncertainty coefficient. Applying the obtained data based on models of electrical loads to the constructed model of a part of a distribution electrical network with real parameters of the electrical network in the MathWorks Simulink environment, the correspondence to the mode parameters of the distribution electrical network is determined. As a result, a device for balancing the voltage depending on the load asymmetry is proposed that is related to the discrepancy between the mode parameters allowing control of the mode parameters by bringing them to acceptable values. Full article
(This article belongs to the Special Issue Distributed Generation Power Systems II)
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19 pages, 981 KiB  
Article
Techno-Economic Green Optimization of Electrical Microgrid Using Swarm Metaheuristics
by Khaled Guerraiche, Latifa Dekhici, Eric Chatelet and Abdelkader Zeblah
Energies 2023, 16(4), 1803; https://doi.org/10.3390/en16041803 - 11 Feb 2023
Cited by 3 | Viewed by 1134
Abstract
In electrical power engineering, elements such as reliability analysis, modeling, and optimization for complex systems are of the utmost importance. Although there exist myriad studies regarding reliability optimization with conventional methods, researchers are still seeking to find more efficient and accurate methods to [...] Read more.
In electrical power engineering, elements such as reliability analysis, modeling, and optimization for complex systems are of the utmost importance. Although there exist myriad studies regarding reliability optimization with conventional methods, researchers are still seeking to find more efficient and accurate methods to address the issue of the redundancy allocation problem. To that effect, an ideal power energy management approach is put forward for the operation of a hybrid microgrid system with different kinds of productions. In the present study, we suggest three algorithms in order to optimize the series-parallel power energy system: the Firefly (FA), Bat (BA), and Interior Search (ISA) algorithms. Moreover, the reliability estimate of the system is solved with the Ushakov algorithm (UMGF). The components may completely fail, which decreases their performance rate. Furthermore, the optimization results are achieved using objective functions that include the total cost of the system, emission gases (NOX, SO2, and CO2) of the power production from fuel cells, diesel generators, and gas turbines, and take into consideration the dependability indices. Devices used in power subsystems are characterized based on their dependabilities, performances, capital costs, and maintenance costs. Reliability hinges on a functioning system, which naturally entails meeting customer demand; as a result, it is influenced by the accumulated batch curve. This method provides an idea with regards to the economic cost optimization of microgrid systems. Finally, we present the results of numeric simulations. Full article
(This article belongs to the Special Issue Distributed Generation Power Systems II)
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