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Advanced Topics in Electrical Power Engineering
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Advanced Topics in Electrical Power Engineering

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

Deadline for manuscript submissions: closed (10 April 2023) | Viewed by 6629

Special Issue Editor

Dr. Attila Magyar

E-Mail Website
Guest Editor
Department of Electrical Engineering and Information Systems, University of Pannonia, Egyetem Street 10, H-8200 Veszprém, Hungary
Interests: intelligent control engineering; renewable energy engineering; system identification; optimal control and scheduling

Special Issue Information

Dear Colleagues,

It is my pleasure to invite you to submit a manuscript to the upcoming Special Issue of Energies entitled “Advanced Topics in Electrical Power Engineering”.

The purpose of this Special Issue is to publish a set of articles on all aspects of modeling, operation, control, and planning of power plants and power systems, including dynamic interactions between power plants and power systems, constraint and security control aspects, tools and methods for control system design and optimization, test and documentation, real-time simulation, and dispatching. To guaranty robust, secure, and optimum operation of future power systems, the development and application of tools and methods such as modern control theory, computational intelligence techniques, and modeling of uncertainties are also important aspects that will be addressed by this Special Issue.

Papers on the optimal control and management of small and large decentralized units based on renewable resources such as water, wind, sun, and biomass, the concepts of smart grid, virtual power plant, and cyber physical energy systems are also welcome in this Special Issue.

Energies readers and authors are encouraged to send their articles. The key criteria for manuscript acceptance will be novelty and contribution to the field of Power Engineering. Manuscripts with experimental implementation are also encouraged. I expect these articles to be widely read and highly influential within the field.

Dr. Attila Magyar
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

  • Power Electronics
  • Power Generation
  • Smart Grids
  • Energy System
  • Optimization Techniques
  • Diagnostic Methods
  • Control Methods
  • Energy Storage Systems
  • Batteries
  • Renewable Energy
  • AI Methods in Power Engineering
  • Data Driven Methods in Power Engineering

Published Papers (3 papers)

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Research

19 pages, 1802 KiB  
Article
A Novel Computation of Delay Margin Based on Grey Wolf Optimisation for a Load Frequency Control of Two-Area-Network Power Systems
by Mohammad Haziq Ibrahim, Ang Swee Peng, Muhammad Norfauzi Dani, Ashraf Khalil, Kah Haw Law, Sharina Yunus, Mohammad Ishlah Rahman and Thien Wan Au
Energies 2023, 16(6), 2860; https://doi.org/10.3390/en16062860 - 20 Mar 2023
Cited by 3 | Viewed by 1350
Abstract
In classical power systems, frequency measurements are transferred via a specialised communication channel, resulting in time delay. The time delay plays a major role in a power system, which can reduce the dynamic performance of the load–frequency control (LFC) system and can destabilise [...] Read more.
In classical power systems, frequency measurements are transferred via a specialised communication channel, resulting in time delay. The time delay plays a major role in a power system, which can reduce the dynamic performance of the load–frequency control (LFC) system and can destabilise the system. The research to date has tended to focus on developing a new algorithm to determine the delay margin (DM) rather than looking into a hybrid algorithm which includes a nature-inspired metaheuristic optimisation technique. This paper introduces a novel method for computing the DM based on grey wolf optimisation (GWO), specifically for the constant time delay. In the proposed method, GWO is employed to optimise the minimum error of the spectral radius and to determine the best design variable of the crossing frequency. With the help of the proposed method, the sweeping range is no longer required, which improves the accuracy of the result. To evaluate the proposed method, a two-area network power system is considered as a case study. Furthermore, the effect of the PI controller gains on the DM is taken into account. The proposed method efficacy is demonstrated by comparing it with the most recently published methods. The results demonstrate that the proposed method is remarkably better than the existing methods found in the literature, where the smallest percentage inaccuracy using the simulation-based DM based on GWO is found to be 0.000%. Full article
(This article belongs to the Special Issue Advanced Topics in Electrical Power Engineering)
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20 pages, 5165 KiB  
Article
Using Group Predictive Voltage and Frequency Regulators of Distributed Generation Plants in Cyber-Physical Power Supply Systems
by Yuri Bulatov, Andrey Kryukov and Konstantin Suslov
Energies 2022, 15(4), 1253; https://doi.org/10.3390/en15041253 - 9 Feb 2022
Cited by 8 | Viewed by 1306
Abstract
The widespread use of distributed generation (DG) plants in cyber-physical power supply systems (CPPSS) requires solving the complex problem of setting their regulators. The presented study aimed to determine the performance of the group predictive voltage and frequency regulators of DG plants in [...] Read more.
The widespread use of distributed generation (DG) plants in cyber-physical power supply systems (CPPSS) requires solving the complex problem of setting their regulators. The presented study aimed to determine the performance of the group predictive voltage and frequency regulators of DG plants in CPPSS. These studies were conducted in the MatLab environment on the CPPSS models with gas turbine units and with a small-scale hydroelectric power plant. The proposed method for tuning group predictive regulators makes it possible to improve the quality control indices. The research has established that with an additional load connected, the maximum voltage dip is reduced by a factor of 3.5 compared to conventional control regulators. In addition, the time of a transient process for the generator rotor speed is decreased by a factor of 3. In the case of a short-term short circuit, predictive regulators can reduce the time of the transient process by a factor of 1.5 and the overshoot by more than 2 times. The simulation results have confirmed the efficiency of group predictive regulators when used in DG plants, i.e., improvement of the quality of control processes in various operating modes. Full article
(This article belongs to the Special Issue Advanced Topics in Electrical Power Engineering)
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12 pages, 2767 KiB  
Article
Simulation and Modelling of Transient Electric Fields in HVDC Insulation Systems Based on Polarization Current Measurements
by Pasquale Cambareri, Carlo de Falco, Luca Di Rienzo, Paolo Seri and Gian Carlo Montanari
Energies 2021, 14(24), 8323; https://doi.org/10.3390/en14248323 - 10 Dec 2021
Cited by 4 | Viewed by 2739
Abstract
Simulating and modelling electric field dynamics in the insulation of medium- and high-voltage DC electrical systems is needed to support insulation design optimization and to evaluate the impact of voltage transients on ageing mechanisms and insulation reliability. In order to perform accurate simulations, [...] Read more.
Simulating and modelling electric field dynamics in the insulation of medium- and high-voltage DC electrical systems is needed to support insulation design optimization and to evaluate the impact of voltage transients on ageing mechanisms and insulation reliability. In order to perform accurate simulations, appropriate physical models must be adopted for the insulating material properties, particularly conductivity, which drives the electric field in a steady-state condition and contributes to determining the field behavior during voltage and load transients. In order to model insulation conductivity, polarization, and conduction, mechanisms must be inferred through charging and discharging current measurements, generally performed at different values of electric field and temperatures in flat specimens of the material under study. In general, both mechanisms are present, but one of them may be predominant with respect to the other depending on type of material. In this paper, we showed that models based on predominant polarization mechanisms were suitable to describe impregnated paper, but not polymers used for HV and MV DC insulation. In the latter case, indeed, trapping–detrapping and conduction phenomena were predominant compared to polarization, thus conductivity models had to be considered, in addition to or as a replacement of the polarization model, in order to carry out proper electric field simulations. Full article
(This article belongs to the Special Issue Advanced Topics in Electrical Power Engineering)
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