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Simulation and Analysis of Electrical Power Systems
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Simulation and Analysis of Electrical Power Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: 25 August 2025 | Viewed by 1870

Special Issue Editor

Dr. Qingyu Wang

E-Mail Website
Guest Editor
State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China
Interests: multi-physics calculation and structural optimization design of power equipment; multi-physics numerical calculation and digital twin technology of power equipment; key technologies for electrical insulation of power equipment

Special Issue Information

Dear Colleagues,

Simulation and analysis of electrical power systems involve the use of mathematical models and computational tools to predict the performance of power systems. With the rapid development of power system digitalization, the demand for the simulation of electrical power systems and multi-physical field simulation of high-voltage power equipment is becoming more and more urgent. Especially in the wave of global industrial digitalization, digital twin technology will be more and more widely used in energy interconnection, and the accurate simulation of electrical power systems is the premise for realizing the digital design, digital operation, digital maintenance, and operation state prediction and analysis of power equipment and systems in the whole life cycle. Furthermore, it can improve system reliability and help optimize the operation of the power grid system.

Considering the fast growth of research and development in the simulation of electrical power systems, this Special Issue will be focused on all aspects of mathematical models, simulation methods, and analysis of electrical power systems. Researchers from relevant fields are encouraged to submit their original papers related to the above topics, particularly including, but not restricted to, the following:

  • Modelling and simulation of new power systems;
  • Analysis and simulation technology of fault mechanisms in new power systems;
  • Multiple physical field simulation of electrical equipment, e.g., transformer magnetic field, vibration noise analysis of bridge arm reactor, surface charge characteristics simulation of gas–solid/liquid–solid;
  • Multi-physics field solving algorithms for high-voltage power equipment;
  • Discharge development simulations of high-voltage power equipment.

Dr. Qingyu 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. 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

  • electrical power systems
  • simulation modelling
  • fault analysis
  • high-voltage power equipment

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Published Papers (4 papers)

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Research

28 pages, 10272 KiB  
Article
A Bio-Optimization Approach for Renewable Energy Management: The Case of a University Building in a Tropical Climate
by Orlando Aguilar Pinzón, Orlando Aguilar Gallardo and Miguel Chen Austin
Energies 2025, 18(8), 2100; https://doi.org/10.3390/en18082100 - 18 Apr 2025
Viewed by 162
Abstract
As concerns about sustainable energy solutions grow, the exploration of bio-inspired techniques for optimizing renewable energy systems becomes increasingly important. This study presents a theoretical application of bio-inspired algorithms, specifically the Particle Swarm Optimization (PSO) algorithm and the Genetic Algorithm (GA), to enhance [...] Read more.
As concerns about sustainable energy solutions grow, the exploration of bio-inspired techniques for optimizing renewable energy systems becomes increasingly important. This study presents a theoretical application of bio-inspired algorithms, specifically the Particle Swarm Optimization (PSO) algorithm and the Genetic Algorithm (GA), to enhance the energy availability of a renewable energy system in an existing university building in a tropical climate. The research followed a multi-step process. First, a renewable energy generation system was designed for the building, considering available resources and space limitations. Next, we optimized both electricity production and overall energy management. Using the PSO algorithm to find the ideal combination of power generators that would fit within the available space resulted in a 10% increase in the energy deficit. Additionally, PSO was used to optimize the discharge management of the battery bank, independently demonstrating a 2% efficiency improvement when incorporated into the original pre-optimization system. These findings highlight some of the challenges with integrating renewable energy systems into existing buildings while showcasing the potential of biomimetic algorithms, like the PSO and the GA, for targeted optimization tasks. Further research is warranted to refine such algorithms and explore their tailored applications for enhancing the performance of renewable energy systems within the often-restrictive parameters of existing infrastructure. Full article
(This article belongs to the Special Issue Simulation and Analysis of Electrical Power Systems)
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19 pages, 1844 KiB  
Article
Minimization of Transmission Line Losses Through System Topology Reconfiguration
by David Orbea, Diego Carrión and Manuel Jaramillo
Energies 2025, 18(8), 2063; https://doi.org/10.3390/en18082063 - 17 Apr 2025
Viewed by 240
Abstract
This research proposes a methodology for minimizing losses in transmission lines (TLs), considering the reconfiguration of the architecture of the electrical power system (EPS). The implementation of this methodology redirects the power flow with optimal switching through its TL to guarantee the stability [...] Read more.
This research proposes a methodology for minimizing losses in transmission lines (TLs), considering the reconfiguration of the architecture of the electrical power system (EPS). The implementation of this methodology redirects the power flow with optimal switching through its TL to guarantee the stability of the voltage, angle, frequency, and power balance in order to minimize losses that affect the reliability and quality of the system. Optimal transmission switching (OTS) allows various types of analysis to be carried out; the loadability of the lines, response times, and operating costs, among other aspects, can be improved. This article proposes minimizing the losses in the transmission lines with OTS by using AC power flows as a mixed-integer nonlinear problem (MINLP). Several test scenarios evaluate the method’s effectiveness, determining the optimal topology for corrective control that optimizes power flows in different situations. It is proven that this approach reduces losses compared to a base case by 99%, even in the face of N − 1 or random contingencies, without losing the load and while maintaining the same active power dispatch and, finally, verifying a strategic increase in the dispatch of reactive power to maintain operating parameters within stable limits. Full article
(This article belongs to the Special Issue Simulation and Analysis of Electrical Power Systems)
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27 pages, 2285 KiB  
Article
Pinpointing Defects in Grounding Grids with Multistatic Radars
by Rodrigo M. S. de Oliveira and Pedro G. B. Maia
Energies 2025, 18(1), 150; https://doi.org/10.3390/en18010150 - 2 Jan 2025
Viewed by 456
Abstract
In this paper, we propose a method for locating discontinuities in grounding grids using a multistatic radar. The objective is to determine the fault position in the structure by injecting an ultra-wideband pulse (Gaussian monocycle) at one of the corners of the grid [...] Read more.
In this paper, we propose a method for locating discontinuities in grounding grids using a multistatic radar. The objective is to determine the fault position in the structure by injecting an ultra-wideband pulse (Gaussian monocycle) at one of the corners of the grid and analyzing the transient signals obtained at two sensors and at the transceiver. To perform the analysis and validation of the developed method, simulations based on the finite-difference time-domain (FDTD) technique were carried out to numerically solve Maxwell’s equations. The voltage signals obtained in an intact grounding grid are used as a reference. Differences between these reference voltages and the voltages obtained with the faulty grid are calculated. With these difference signals, the parameters of the radar ellipses and circle are obtained, which delimit the area where the fault can be found. These parameters depend on the wave propagation speed and the arrival times of the signals at the sensors and the transceiver. The results show that the proposed method is able to reduce the estimated fault location area to a range of 2% to 19% of the total grid area. In addition, the average distance between the actual fault and the center of the estimated region varies between 3.0 and 4.0 m. Full article
(This article belongs to the Special Issue Simulation and Analysis of Electrical Power Systems)
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16 pages, 5341 KiB  
Article
A Sparse Representation-Based Reconstruction Method of Electrical Impedance Imaging for Grounding Grid
by Ke Zhu, Donghui Luo, Zhengzheng Fu, Zhihang Xue and Xianghang Bu
Energies 2024, 17(24), 6459; https://doi.org/10.3390/en17246459 - 22 Dec 2024
Viewed by 641
Abstract
As a non-invasive imaging method, electrical impedance tomography (EIT) technology has become a research focus for grounding grid corrosion diagnosis. However, the existing algorithms have not produced ideal image reconstruction results. This article proposes an electrical impedance imaging method based on sparse representation, [...] Read more.
As a non-invasive imaging method, electrical impedance tomography (EIT) technology has become a research focus for grounding grid corrosion diagnosis. However, the existing algorithms have not produced ideal image reconstruction results. This article proposes an electrical impedance imaging method based on sparse representation, which can improve the accuracy of reconstructed images obviously. First, the basic principles of EIT are outlined, and the limitations of existing reconstruction methods are analyzed. Then, an EIT reconstruction algorithm based on sparse representation is proposed to address these limitations. It constructs constraints using the sparsity of conductivity distribution under a certain sparse basis and utilizes the accelerated Fast Iterative Shrinkage Threshold Algorithm (FISTA) for iterative solutions, aiming to improve the imaging quality and reconstruction accuracy. Finally, the grounding grid model is established by COMSOL simulation software to obtain voltage data, and the reconstruction effects of the Tikhonov regularization algorithm, the total variation regularization algorithm (TV), the one-step Newton algorithm (NOSER), and the sparse reconstruction algorithm proposed in this article are compared in MATLAB. The voltage relative error is introduced to evaluate the reconstructed image. The results show that the reconstruction algorithm based on sparse representation is superior to other methods in terms of reconstruction error and image quality. The relative error of the grounding grid reconstructed image is reduced by an average of 12.54%. Full article
(This article belongs to the Special Issue Simulation and Analysis of Electrical Power Systems)
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