Symmetry in Digitalisation of Distribution Power System

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

Deadline for manuscript submissions: 30 November 2025 | Viewed by 307

Special Issue Editors


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Guest Editor
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Interests: data analysis for synchrophasors; oscillation; cyber-security; power quality; reliability

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Guest Editor
Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK
Interests: smart grid; cyber physical security; cyber physical simulation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Electrical and Electronic Engineering, The University of Sheffield, Sheffield S10 2TN, UK
Interests: multi-energy system; cyber-physical system; power system simulation; optimization; low carbon

Special Issue Information

Dear Colleagues,

In a digital distribution power system, the concepts of symmetry and asymmetry are pivotal for optimizing system performance, reliability, and efficiency. Symmetry ensures balanced operations, crucial for stable power delivery and effective fault diagnoses. In digital networks, symmetrical data flow and communication protocols enhance real-time control and monitoring, mitigating issues from distributed energy resources' variability. Asymmetrical challenges, like uneven load distribution or cyber-physical uncertainties, can destabilize operations, impacting power quality and economic operations. Leveraging symmetry in planning and design facilitates intelligent management and co-regulation technologies, improving adaptability to new energy sources. Addressing both symmetrical and asymmetrical aspects is essential for integrating advanced technologies that ensure the secure, high-quality, and economic operations of modern power systems amidst growing complexities.

Topics:

  • Emerging technologies in smart grids (e.g., 5G, digital twin, blockchain, P2P energy trading);
  • Attack detection, defense, and recovery of cyber–physical power systems;
  • Resilient operations of distribution power systems against extreme weather;
  • Smart metering, communication, and control in smart grids;
  • Modeling and simulations of power electronic-dominated distribution power systems;
  • Smart coordination of heterogeneous energy systems like electricity, transportation, heating, and gas systems;
  • Communications and networking for distribution power systems;
  • Artificial intelligence and data analytics for distribution power systems;
  • Smart management of energy demand, storage, and electric vehicles.

Dr. Qiu Wei
Dr. Mengxiang Liu
Dr. Suhan Zhang
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-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

  • smart grids
  • distribution power systems
  • energy systems
  • modern power systems
  • cyber-physical power systems

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Published Papers (2 papers)

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Research

19 pages, 1631 KiB  
Article
Stochastic Programming-Based Annual Peak-Regulation Potential Assessing Method for Virtual Power Plants
by Yayun Qu, Chang Liu, Xiangrui Tong and Yiheng Xie
Symmetry 2025, 17(5), 683; https://doi.org/10.3390/sym17050683 (registering DOI) - 29 Apr 2025
Abstract
The intervention of distributed loads, propelled by the swift advancement of distributed energy sources and the escalating demand for diverse load types encompassing electricity and cooling within virtual power plants (VPPs), has exerted an influence on the symmetry of the grid. Consequently, a [...] Read more.
The intervention of distributed loads, propelled by the swift advancement of distributed energy sources and the escalating demand for diverse load types encompassing electricity and cooling within virtual power plants (VPPs), has exerted an influence on the symmetry of the grid. Consequently, a quantitative assessment of the annual peak-shaving capability of a VPP is instrumental in mitigating the peak-to-valley difference in the grid, enhancing the operational safety of the grid, and reducing grid asymmetry. This paper presents a peak-shaving optimization method for VPPs, which takes into account renewable energy uncertainty and flexible load demand response. Firstly, wind power (WP), photovoltaic (PV) generation, and demand-side response (DR) are integrated into the VPP framework. Uncertainties related to WP and PV generation are incorporated through the scenario method within deterministic constraints. Secondly, a stochastic programming (SP) model is established for the VPP, with the objective of maximizing the peak-regulation effect and minimizing electricity loss for demand-side users. The case study results indicate that the proposed model effectively tackles peak-regulation optimization across diverse new energy output scenarios and accurately assesses the peak-regulation potential of the power system. Specifically, the proportion of load decrease during peak hours is 18.61%, while the proportion of load increase during off-peak hours is 17.92%. The electricity loss degrees for users are merely 0.209 in summer and 0.167 in winter, respectively. Full article
(This article belongs to the Special Issue Symmetry in Digitalisation of Distribution Power System)
18 pages, 2196 KiB  
Article
A Cooperative MHE-Based Distributed Model Predictive Control for Voltage Regulation of Low-Voltage Distribution Networks
by Yongqing Lv, Xiaobo Dou, Kexin Zhang and Yi Zhang
Symmetry 2025, 17(4), 513; https://doi.org/10.3390/sym17040513 - 28 Mar 2025
Viewed by 144
Abstract
This paper presents a moving horizon estimator-based cooperative model predictive control strategy for a low-voltage distribution area equipped with symmetric distributed generators (DGs). First, DGs have their symmetries in the control structures that can be utilized for the control design. Then, a simplified [...] Read more.
This paper presents a moving horizon estimator-based cooperative model predictive control strategy for a low-voltage distribution area equipped with symmetric distributed generators (DGs). First, DGs have their symmetries in the control structures that can be utilized for the control design. Then, a simplified model using feedback linearization theory for the symmetric DGs with hierarchical control reduces the high-order detailed models to low-order ones. To supplement the loss of accuracy and reliability in the proposed model, the controller introduces a moving horizon estimator to observe the unmeasured state variables under the poor communication condition of a low-voltage distribution network. Compared to the conventional method, the moving horizon estimator has advantages in handling uncertain disturbances, communication delays, constraints, etc. Furthermore, with all measured and observed state information, a cooperative distributed model predictive controller can be executed, and the stability and feasibility of controller are given. Finally, the effectiveness of the proposed control technique is verified through simulation based on Matlab/Simulink. Full article
(This article belongs to the Special Issue Symmetry in Digitalisation of Distribution Power System)
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