Symmetry/Asymmetry Studies in Modern Power Systems (Second Edition)

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

Deadline for manuscript submissions: 31 January 2027 | Viewed by 1357

Editors

School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: power system stability and control; Al applications in power systems; renewable energy integration
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Guest Editor
Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Interests: power system stability analysis and control; energy storage dispatching optimization and stable operation; applications of systems science, information science and computing science in power systems

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Guest Editor
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
Interests: power system estimation; parameters identification; power system dynamics; signal processing; cyber security
Special Issues, Collections and Topics in MDPI journals
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: power electronicization of power systems; HVDC transmission systems; renewable energy generation and grid connection; application of artificial intelligence in power electronic conversion
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Building upon the successful completion of the inaugural edition, this Second Edition of the Special Issue, "Symmetry/Asymmetry Studies in Modern Power Systems," continues to delve into the fundamental roles that symmetry and asymmetry principles play in the analysis, operation and advancement of contemporary power grids. The evolving landscape, characterized by the massive integration of inverter-based resources, increasing grid complexities and heightened demands for resilience, makes the exploration of these concepts more critical than ever.

This Special Issue will further explore both foundational and emerging aspects of symmetry in power systems, including its application in stability analysis, system planning and design. It will also highlight the evolving role of symmetry in improving operational efficiency, enhancing system stability and ensuring the reliable delivery of electricity in the context of increasing renewable energy integration and power electronic interfacing. By continuing to examine the intricate connections between symmetry and power systems, this Special Issue seeks to deepen insights into system complexities and offer valuable perspectives for advancing power system operation, stability and control.

We invite researchers to contribute original research articles and reviews that explore various aspects related to symmetry and asymmetry in modern power systems. Applied case studies are especially welcome. Topics of interest include, but are not limited to, those listed below.

  • Fundamental theories and analytical methods for symmetry/asymmetry in power systems
  • Symmetry/asymmetry in fault diagnosis, protection and system resilience
  • Optimization, planning and design considering system symmetry/asymmetry
  • Power flow, transmission and distribution with symmetry/asymmetry characteristics
  • Topology symmetry/asymmetry and its impact on system performance
  • Symmetry/asymmetry in multiphase and advanced power system architectures
  • Active and reactive power balancing under symmetric and asymmetric conditions
  • Symmetry/asymmetry in power electronics, converters and renewable energy systems
  • System stability, transients, and control in asymmetric power-electronic-dominated grids

Dr. Tao Zhou
Dr. Yichen Zhou
Dr. Yi Wang
Dr. Cheng Wang
Guest Editors

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-anonymized 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.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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

  • symmetry/asymmetry in power systems
  • power-electronics-dominated grids
  • system stability and control
  • fault diagnosis and resilience
  • grid-forming converters

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Related Special Issue

Published Papers (3 papers)

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Research

20 pages, 3492 KB  
Article
High-Frequency Harmonic Suppression by Switching-Sequence Optimization in a Topologically Asymmetric Three-Phase-to-Single-Phase Matrix Converter
by Yuxiang Xu, Huan Shao, Bangyang Wei and Mengyang Pan
Symmetry 2026, 18(9), 1415; https://doi.org/10.3390/sym18091415 - 22 Aug 2026
Abstract
To address output-side high-frequency harmonics in a three-phase-to-single-phase matrix converter (3-1MC) with an inductive compensation unit and topological port asymmetry, two PWM switching-sequence optimization methods are proposed. Without power decoupling, the pulsating power associated with the single-phase output is coupled to the input [...] Read more.
To address output-side high-frequency harmonics in a three-phase-to-single-phase matrix converter (3-1MC) with an inductive compensation unit and topological port asymmetry, two PWM switching-sequence optimization methods are proposed. Without power decoupling, the pulsating power associated with the single-phase output is coupled to the input side through the bidirectional switching network because the converter has no large energy-storage DC link. Under conventional modulation, the state sequence can produce large output-voltage steps and nonuniform commutation paths, thereby increasing switching-frequency harmonic components. The first proposed method avoids direct commutation of the line voltage with the largest instantaneous magnitude to the zero state by inserting line-voltage segments with smaller instantaneous magnitudes. The second method rearranges the switching-state sequence without changing the effective-vector durations, thereby reducing the number of switching transitions within each switching cycle. Compared with the conventional modulation method, Method 1 reduces the output-voltage THD from 35.4% to 31.4%, corresponding to a relative reduction of 11.3%. Method 2 reduces the THD from 35.4% to 27.5%, corresponding to a relative reduction of 22.3%. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry Studies in Modern Power Systems (Second Edition))
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33 pages, 7413 KB  
Article
An Improved Adversarial Learning Method for Cross-Scene Reconstruction of Industrial Load Symmetry Power Data Based on Denoising Diffusion
by Yuxiu Zang, Jia Cui, Jiaqi Shi, Yan Zhao and Weichun Ge
Symmetry 2026, 18(8), 1358; https://doi.org/10.3390/sym18081358 - 12 Aug 2026
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Abstract
Symmetry power integrity is a core issue for power system data acquisition. However, industrial load data integrity is affected by missing values, abnormal disturbances, and low-reliability observations. A reliability-aware cross-scene industrial load symmetry power data reconstruction method is proposed based on adversarial learning. [...] Read more.
Symmetry power integrity is a core issue for power system data acquisition. However, industrial load data integrity is affected by missing values, abnormal disturbances, and low-reliability observations. A reliability-aware cross-scene industrial load symmetry power data reconstruction method is proposed based on adversarial learning. Firstly, an industrial electricity scene classification is proposed. Temporal and frequency-domain features are jointly encoded by a multilayer perceptron. The scene affiliation of the data is identified by cosine similarity to improve the cross-scene generalization capability. Secondly, a diffusion denoising generative adversarial reconstruction framework is proposed. For missing data, a conditional diffusion model is constructed with historical temporal distributions. Data structures are recovered by forward diffusion and reverse denoising processes. For low-reliability observations, original observations, first-order differences, and second-order differences are adopted to construct local shape constraints. In addition, the residual-correction guidance mechanism is introduced to estimate and correct observation deviations to improve the data reconstruction accuracy. Finally, simulations are conducted with industrial load datasets in Liaoning Province. The results validated the effectiveness of the proposed method. The average accuracies of data correction and data reconstruction reach 97.21% and 97.17%, respectively. Moreover, reconstruction accuracies exceeding 90% are maintained in cross-scene conditions involving different seasons and regions. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry Studies in Modern Power Systems (Second Edition))
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21 pages, 2411 KB  
Article
Joint Optimal Planning of Flexible Resources in Distribution Networks Facing Multi-Dimensional Asymmetric Challenges
by Saining Yin, Guowu Li, Xinsheng Ma, Zezhong Wang, Jin Zong, Weiyu Li, Ruoxuan Lu and Jiali Wang
Symmetry 2026, 18(6), 972; https://doi.org/10.3390/sym18060972 - 4 Jun 2026
Viewed by 354
Abstract
Modern distribution networks face dual challenges: extremely asymmetric spatial power flows caused by the high-penetration integration of distributed renewables under normal operating conditions and asymmetric system faults triggered by extreme weather such as blizzards under extreme conditions. To address these imbalances, this paper [...] Read more.
Modern distribution networks face dual challenges: extremely asymmetric spatial power flows caused by the high-penetration integration of distributed renewables under normal operating conditions and asymmetric system faults triggered by extreme weather such as blizzards under extreme conditions. To address these imbalances, this paper integrates distributed energy storage (DES) and soft open points (SOPs) as flexible resources to propose a two-stage joint optimal planning method that balances operational economy and resilience enhancement. First, by incorporating the spatiotemporal evolution trajectory and distance attenuation effects of blizzards, a multi-dimensional scenario sets characterizing asymmetric faults and normal source-load fluctuations are constructed. Second, a joint optimal planning model minimizing the total lifecycle cost is established. The progressive hedging algorithm is then adopted to decouple cross-scenario variables for efficient parallel solving. Verified on both the IEEE 33-node and large-scale 123-node systems, the coordinated planning strategy effectively avoids redundant investment in a single type of device. By establishing a symmetrical balance of flexible resources, the proposed method significantly reduces network losses and renewable curtailment during normal operation, while minimizing the amount of system load shedding under extreme asymmetric faults. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry Studies in Modern Power Systems (Second Edition))
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