Symmetry in Energy Systems and Electrical Power

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 961

Special Issue Editor


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Guest Editor
Department of Mechanical Engineering, Universidad de Guanajuato, Salamanca 36885, GJ, Mexico
Interests: numerical analysis and optimization, based on sustainability, reliability, and energy efficiency, of individual energy producers, group of producers organized via grids and microgrids, or directly connected to the main network, with emphasis on those based on renewable energy sources

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute with original research to this Special Issue “Symmetry in Energy Systems and Electrical Power”, where the principles of symmetry and asymmetry are used to improve the efficiency, sustainability, and reliability of energy systems in an individual manner or considering their interaction in the form of grids and microgrids. The aim of this Special Issue is to find ways to improve the synthesis, design, and performance of such systems by reducing losses and, thus, increasing efficiencies, which will be reflected in the use of less resources, less emissions to the environment, and a more stable performance of the system.

Dr. Sergio Cano-Andrade
Guest Editor

Manuscript Submission Information

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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. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • symmetry
  • asymmetry
  • optimization
  • energy systems
  • electrical power
  • grids and microgrids
  • energy efficiency
  • sustainability
  • reliability

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Published Papers (2 papers)

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Research

37 pages, 3150 KB  
Article
Optimization of Distributed Energy Resources in Distribution Networks Using Multi-Objective Archimedes Optimization Algorithm
by Muhammad Shakeel, Ali Arshad Uppal, Nida Tasneem and Yazan Alsmadi
Symmetry 2026, 18(1), 75; https://doi.org/10.3390/sym18010075 - 2 Jan 2026
Abstract
Distributed energy resources (DERs) can improve the performance of radial distribution systems. The nonlinear power flow constraints, multi-objective trade-offs, and network reconfiguration scenarios for DER placement and sizing call for the formulation of optimization problems. Most of the times optimization algorithms suffer from [...] Read more.
Distributed energy resources (DERs) can improve the performance of radial distribution systems. The nonlinear power flow constraints, multi-objective trade-offs, and network reconfiguration scenarios for DER placement and sizing call for the formulation of optimization problems. Most of the times optimization algorithms suffer from premature convergence and poor exploration-exploitation balance. These problems exhibit an inherent internal structural symmetry. In order to overcome the above problem, this study uses the Multi-Objective Archimedes Optimization Algorithm (MAOA) to optimally allocate DERs in the Radial Distribution Networks (RDNs), moreover the performance of the proposed MAOA is compared with the other well established algorithms including Particel Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), Shuffled Frog Leaping Algorithm (SFLA), Atom Search Optimization (ASO), and Butterfly Optimization Algorithm (BOA) on the IEEE-33 RDN. The comparison is made for the four cases (S1: DER Only), (S2—Network Reconfiguration Only), (S3—DER Followed by Reconfiguration), and (S4—Reconfiguration Followed by DER) considering factors like voltage profile, network reconfiguration, active and reactive power loss reduction, carbon emission DER utilization and Cost reduction. The MAOA is observed to provide better results among all the other benchmark algorithms. In S3, the active power loss is reduced by 68.41%, whereas the reactive power loss is reduced by 57.44% and the MAOA algorithm improves the voltage by 3.98%. The minimum voltage of the network is also improved by 6.28%. The algorithm improves convergence with a percentage of 18.50% enhancing the system’s operational symmetry and stability, while satisfying all constraints. At Bus 3 and Bus 6 of IEEE-33 bus radial distribution network (Baran–Wu test system), DG capacity is allocated to be 3.8 MW and 2.1 MW, respectively. Full article
(This article belongs to the Special Issue Symmetry in Energy Systems and Electrical Power)
16 pages, 1553 KB  
Article
A Voltage Parameter Adaptive Detection Method for Power Systems Under Grid Voltage Distortion Conditions
by Wenzhe Hao, Zhiyong Dai, Guangqi Li, Shuaishuai Lv, Qitao Sun, Nana Lu and Jinke Ma
Symmetry 2025, 17(6), 975; https://doi.org/10.3390/sym17060975 - 19 Jun 2025
Cited by 1 | Viewed by 701
Abstract
Accurate voltage information is important for ensuring the safe operation of power systems and their performance evaluation. However, as distributed energy sources become more prevalent, the levels of harmonics and DC components in the power grid are increasing notably, resulting in voltage waveform [...] Read more.
Accurate voltage information is important for ensuring the safe operation of power systems and their performance evaluation. However, as distributed energy sources become more prevalent, the levels of harmonics and DC components in the power grid are increasing notably, resulting in voltage waveform distortion and a breakdown of waveform symmetry. As a result, traditional voltage parameter detection methods are unable to obtain the voltage information accurately. To address this issue, this paper proposed a novel approach that leverages adaptive estimation to accurately detect voltage parameters under grid voltage distortion conditions. More importantly, the proposed method has the ability to extract the harmonics and the DC component without steady-state error and exhibits a fast dynamic response. With this approach, the amplitude of the grid voltage can be derived in 4.2 ms when the grid voltage is undistorted. In the presence of low-order harmonics, the amplitude of the grid voltage can be accurately derived in 10.7 ms. Finally, simulation results and experimental results are respectively used for model validation and functionality validation. Full article
(This article belongs to the Special Issue Symmetry in Energy Systems and Electrical Power)
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