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Symmetry
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Symmetry in Power System Dynamics and Control
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Symmetry in Power System Dynamics and Control

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

Deadline for manuscript submissions: 31 August 2026 | Viewed by 3790

Special Issue Editors

Prof. Dr. Larbi Djilali

E-Mail Website
Guest Editor
TecNM Chihuahua, División de Estudios de Posgrado e Investigación, Chihuahua 31310, México
Interests: automatic control; power generation; intelligent control; microgrid control
Special Issues, Collections and Topics in MDPI journals
Dr. Moussa Boukhnifer

E-Mail Website
Guest Editor
Ecole Nationale d'Ingénieurs de Metz, Univesrité de Lorraine, F-57000 Metz, France
Interests: dignosis; FTC control; electrical vehicle; energy system
Special Issues, Collections and Topics in MDPI journals
Dr. Abraham Efraim Rodríguez-Mata

E-Mail Website
Guest Editor
TecNM Chihuahua, División de Estudios de Posgrado e Investigación, Chihuahua, México
Interests: nonlinear control; power converters; artificial intelligence; robust control

Special Issue Information

Dear Colleagues,

The rapid advancement of modern power systems, driven by the increasing integration of renewable energy resources into the main grid, highlights the critical role of power converters in ensuring system reliability, enhancing efficiency, and enabling flexible power generation and distribution. Power converters are pivotal for integrating renewable energy systems such as wind, solar, and energy storage into the grid. To achieve the seamless integration of distributed generators, effective power sharing, and robust system dynamics control, the concepts of symmetry and asymmetry are fundamental to the design, operation, and stability of modern power systems. Given the complex nature of modern power systems, advanced control strategies are essential to improving key characteristics, including low-voltage capacity and operational adaptability under symmetric and asymmetric conditions, which align with the mandates of modern grid codes. This Special Issue explores advanced control, intelligent control, and faulty diagnosis techniques for modern power systems and microgrids, with a specific focus on the role of symmetry and asymmetry in their design, operation, and control. The objective of this Special Issue is to provide insights into challenges related to modern power system integration and to present innovative solutions utilizing advanced and intelligent controls and power converter designs. The goal is to enhance system stability and ensure the reliable delivery of electrical power.

We invite researchers to contribute original research articles and comprehensive reviews addressing various aspects of power converters, modern power system applications, and control strategies. Applied case studies are particularly welcome. Topics of interest include, but are not limited to, the following:

  1. Symmetry/asymmetry in control design for modern power system applications.
  2. Symmetry/asymmetry in intelligent control strategies for modern power systems.
  3. Symmetry/asymmetry in microgrid design and control.
  4. Symmetry/asymmetry in fault-tolerant power system operation.
  5. Symmetry/asymmetry in power converter design and control for modern power systems.
  6. Fault diagnosis techniques addressing symmetry and asymmetry in power systems.
  7. Fault-tolerant control of power converters and modern power systems.
  8. Symmetry/asymmetry considerations for integrating modern power systems into the grid.
  9. Operation of power converters and modern power systems under asymmetric conditions.
  10. Theory and practical applications of symmetry and asymmetry in power systems.

This Special Issue aims to serve as a platform for advancing knowledge and fostering innovation in the integration, control, and stability of modern power systems.

Dr. Larbi Djilali
Dr. Moussa Boukhnifer
Dr. Abraham Efraim Rodríguez-Mata
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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.

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

  • modern power system control and integration
  • microgrid control, design, and applications
  • power converter design and control
  • design and application of advanced and intelligent controls
  • fault-tolerant control
  • modern power system operations under fault conditions

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Published Papers (2 papers)

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Research

27 pages, 2961 KB  
Article
Mechanical Parameter Identification of Permanent Magnet Synchronous Motor Based on Symmetry
by Xing Ming, Xiaoyu Wang, Fucong Liu, Yi Qu, Bingyin Zhou, Shuolin Zhang and Ping Yu
Symmetry 2025, 17(11), 1929; https://doi.org/10.3390/sym17111929 - 11 Nov 2025
Cited by 3 | Viewed by 1075
Abstract
Permanent Magnet Synchronous Motors (PMSMs) have been widely applied across various electrical systems due to their significant advantages, including high power density, high-efficiency conversion, and easy controllability. However, the issue of ‘parameter asymmetry’ (a mismatch between the controller’s preset parameters and the actual [...] Read more.
Permanent Magnet Synchronous Motors (PMSMs) have been widely applied across various electrical systems due to their significant advantages, including high power density, high-efficiency conversion, and easy controllability. However, the issue of ‘parameter asymmetry’ (a mismatch between the controller’s preset parameters and the actual system parameters) in PMSMs can lead to performance problems, such as delayed speed response and increased overshoot. The destruction of symmetry, including the asymmetric weight distribution between new and old data in the moment-of-inertia identification algorithm and the asymmetry between “measured values and true values” caused by sampling delay, is the core factor limiting the system’s control performance. All these factors significantly affect the accuracy of parameter identification and the system’s stability. To address this, this study focuses on the mechanical parameter identification of PMSMs with the core goal of “symmetric matching between set values and true values”. Firstly, a current-speed dual closed-loop vector control system model is constructed. The PI parameters are tuned to meet the symmetric tracking requirements of “set value-feedback” in the dual loops, and the influence of the PMSM’s moment of inertia on the loop symmetry is analyzed. Secondly, the symmetry defects of traditional algorithms are highlighted, such as the imbalance between “data weight and working condition characteristics” in the least-squares method and the mismatch between “set inertia and true inertia” caused by data saturation. Finally, a Forgetting Factor Recursive Least Squares (FFRLS) scheme is proposed: the timing asymmetry of signals is corrected via a first-order inertial link, a forgetting factor λ is introduced to balance data weights, and a recursive structure is adopted to avoid data saturation. Simulation results show that when λ = 0.92, the identification accuracy reaches +5% with a convergence time of 0.39 s. Moreover, dynamic symmetry can still be maintained under multiple multiples of inertia, thereby improving identification performance and ensuring symmetry in servo control. Full article
(This article belongs to the Special Issue Symmetry in Power System Dynamics and Control)
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21 pages, 3559 KB  
Article
A Multistage Algorithm for Phase Load Balancing in Low-Voltage Electricity Distribution Networks Operated in Asymmetrical Conditions
by Ovidiu Ivanov, Florin-Constantin Băiceanu, Ciprian-Mircea Nemeș, Gheorghe Grigoraș, Bianca-Elena Țuchendria and Mihai Gavrilaș
Symmetry 2025, 17(10), 1589; https://doi.org/10.3390/sym17101589 - 23 Sep 2025
Cited by 1 | Viewed by 1896
Abstract
In many countries, most one-phase residential electricity consumers are supplied from three-phase, four-wire local networks operated in radial tree-like configurations. Uneven consumer placement on the wires of the three-phase circuit leads to unbalanced phase loads that break the voltage symmetry and increase the [...] Read more.
In many countries, most one-phase residential electricity consumers are supplied from three-phase, four-wire local networks operated in radial tree-like configurations. Uneven consumer placement on the wires of the three-phase circuit leads to unbalanced phase loads that break the voltage symmetry and increase the energy losses. One way to mitigate these problems is to balance the phase loads on the feeders by choosing the optimal phase of connection of the consumers. The authors proposed earlier a phase balancing algorithm based on metaheuristic optimization. For networks with a high number of supply nodes, this algorithm requires finding a solution for all the consumers simultaneously. Two alternative approaches are proposed in this paper that use the tree-like structure of the network to divide the optimization between a main distribution feeder and several branches, creating a multistage process, with the aim of minimizing energy losses. A case study is performed using a real low-voltage distribution network and a comparison is made between the three algorithms. The resulting losses have marginal variations between the proposed approaches, with a maximum of 1.3% difference. Full article
(This article belongs to the Special Issue Symmetry in Power System Dynamics and Control)
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