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Symmetry
Special Issues
New Power System and Symmetry
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New Power System and Symmetry

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 5138

Special Issue Editors

Dr. Yongji Cao

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Guest Editor
Academy of Intelligent Innovation, Shandong University, Jinan 250061, China
Interests: power system stability analysis and control; application of artificial intelligence technology in power system; renewable energy grid connection and energy storage technology
Dr. Runjia Sun

E-Mail Website
Guest Editor
School of Electrical Engineering, Shandong University, Jinan 250061, China
Interests: restoration control of new power system; power system resilience; artificial intelligence applied in new power system
Dr. Rui Wang

E-Mail Website
Guest Editor
College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Interests: energy storage system; optimization problem; cooperative control
Special Issues, Collections and Topics in MDPI journals
Dr. Jin Tan

E-Mail Website
Guest Editor
College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Interests: optimal planning and operation of integrated energy system; modelling and planning of energy storage; optimal operation under uncertainty

Special Issue Information

Dear Colleagues,

Due to the global challenges such as climate warming, the Paris Agreement has specified an emission reduction target of limiting the global average temperature rise to 2°C by the end of the 21st century. For this purpose, the integration of renewable energies has been accelerated, and the composition structures, operation states, and stability characteristics of new power systems have changed considerably. There is a huge challenge in maintaining power symmetry and balance in the new power system, which puts forward higher requirements on perception, cognition, and decision-making abilities. Thus, studies on new power systems and symmetry are of great significance.

This Special Issue invites researchers to submit original research papers and review articles related to new power systems and symmetry. Applied case studies are especially welcome. The topics of interest include, but are not limited to, the following:

  • Symmetry and balance of active power in new power systems;
  • Symmetry and balance of reactive power in new power systems;
  • Symmetry in power electronic devices;
  • Analysis of symmetrical and asymmetrical disturbances;
  • Control strategy of symmetrical and asymmetrical disturbances;
  • Symmetry in power system planning;
  • Symmetry in power system operation;
  • Symmetry in electricity market;
  • Evolution process of symmetry in new power systems;
  • Analysis and processing method of symmetrical and asymmetrical signals;
  • Symmetry in high performance computing.

Dr. Yongji Cao
Dr. Runjia Sun
Dr. Rui Wang
Dr. Jin Tan
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 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. 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

  • power systems
  • power electronics
  • symmetry
  • smart grid
  • renewable energies
  • energy storage
  • artificial intelligence technology
  • power system stability
  • signal processing

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

17 pages, 6843 KiB  
Article
Optimal Flexibility Dispatching of Multi-Pumped Hydro Storage Stations Considering the Uncertainty of Renewable Energy
by Xinyi Chen, Pan Wu, Hongyu He, Bingbing Song, Kangping Qin, Xiaobi Teng, Fan Yang and Dongdong Li
Symmetry 2024, 16(10), 1404; https://doi.org/10.3390/sym16101404 - 21 Oct 2024
Cited by 1 | Viewed by 990
Abstract
With the continuous increase in the penetration rate of renewable energy, the randomness and flexibility demand in the power system continues to increase. The main grid side of the power system vigorously develops pumped hydro storage (PHS) resources. However, the current PHS station [...] Read more.
With the continuous increase in the penetration rate of renewable energy, the randomness and flexibility demand in the power system continues to increase. The main grid side of the power system vigorously develops pumped hydro storage (PHS) resources. However, the current PHS station scheduling method of a fixed time period and fixed power has lost a certain flexibility supply. In this paper, an optimal dispatching model of multi-pumped hydro storage stations is proposed to supply flexibility for different regions of the state grid in east China. Firstly, the credible predictable power (CPP) of renewable energy is calculated and the definition of flexibility demand of a power system is given. The calculation model for flexibility demand is established. Secondly, considering the regional allocation constraint in the state grid in east China, a non-centralized model of multi-PHS within the dispatch scope is established. In the model, the constraints of storage capacity of different hydropower conversion coefficients of each PHS station is considered. The flexibility supply model of PHS stations to each region of the state grid in east China is established to realize reasonable flexibility allocation. Then, by combining the PHS station models and the flexibility demand calculation model, the optimal dispatching model for the flexibility supply of multi-PHS stations is established. Finally, based on the network dispatching example, the effectiveness and superiority of the proposed strategy are verified by a case study. Full article
(This article belongs to the Special Issue New Power System and Symmetry)
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22 pages, 7052 KiB  
Article
Data-Driven Dynamic Security Partition Assessment of Power Systems Based on Symmetric Electrical Distance Matrix and Chebyshev Distance
by Hang Qi, Ruiyang Su, Runjia Sun and Jiongcheng Yan
Symmetry 2024, 16(10), 1355; https://doi.org/10.3390/sym16101355 - 12 Oct 2024
Viewed by 1549
Abstract
A rapid dynamic security assessment (DSA) is crucial for online preventive and restoration decision-making. The deep learning-based DSA models have high efficiency and accuracy. However, the complex model structure and high training cost make them hard to update quickly. This paper proposes a [...] Read more.
A rapid dynamic security assessment (DSA) is crucial for online preventive and restoration decision-making. The deep learning-based DSA models have high efficiency and accuracy. However, the complex model structure and high training cost make them hard to update quickly. This paper proposes a dynamic security partition assessment method, aiming to develop accurate and incrementally updated DSA models with simple structures. Firstly, the power grid is self-adaptively partitioned into several local regions based on the mean shift algorithm. The input of the mean shift algorithm is a symmetric electrical distance matrix, and the distance metric is the Chebyshev distance. Secondly, high-level features of operating conditions are extracted based on the stacked denoising autoencoder. The symmetric electrical distance matrix is modified to represent fault locations in local regions. Finally, DSA models are constructed for fault locations in each region based on the radial basis function neural network (RBFNN) and Chebyshev distance. An online incremental updating strategy is designed to enhance the model adaptability. With the simulation software PSS/E 33.4.0, the proposed dynamic security partition assessment method is verified in a simplified provincial system and a large-scale practical system in China. Test results demonstrate that the Chebyshev distance can improve the partition quality of the mean shift algorithm by approximately 50%. The RBFNN-based partition assessment model achieves an accuracy of 98.96%, which is higher than the unified assessment with complex models. The proposed incremental updating strategy achieves an accuracy of over 98% and shortens the updating time to 30 s, which can meet the efficiency of online application. Full article
(This article belongs to the Special Issue New Power System and Symmetry)
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20 pages, 4314 KiB  
Article
Assessment of the Renewable Energy Consumption Capacity of Power Systems Considering the Uncertainty of Renewables and Symmetry of Active Power
by Kaijian Ou, Shilin Gao, Yuhong Wang, Bingjie Zhai and Wei Zhang
Symmetry 2024, 16(9), 1184; https://doi.org/10.3390/sym16091184 - 10 Sep 2024
Cited by 2 | Viewed by 1296
Abstract
The rapid growth of renewable energy presents significant challenges for power grid operation, making the efficient integration of renewable energy crucial. This paper proposes a method to evaluate the power system’s capacity to accommodate renewable energy based on the Gaussian mixture model (GMM) [...] Read more.
The rapid growth of renewable energy presents significant challenges for power grid operation, making the efficient integration of renewable energy crucial. This paper proposes a method to evaluate the power system’s capacity to accommodate renewable energy based on the Gaussian mixture model (GMM) from a symmetry perspective, underscoring the symmetrical interplay between load and renewable energy sources and highlighting the balance necessary for enhancing grid stability. First, a 10th-order GMM is identified as the optimal model for analyzing power system load and wind power data, balancing accuracy with computational efficiency. The Metropolis–Hastings (M-H) algorithm is used to generate sample spaces, which are integrated into power flow calculations to determine the maximum renewable energy integration capacity while ensuring system stability. Short-circuit ratio calculations and N-1 fault simulations validate system robustness under high renewable energy integration. The consistency between the results from the M-H algorithm, Gibbs sampling, and Monte Carlo simulation (MCS) confirms the approach’s accuracy. Full article
(This article belongs to the Special Issue New Power System and Symmetry)
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