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Energies
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Power System Voltage Stability, Modelling, Analysis and Control
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Power System Voltage Stability, Modelling, Analysis and Control

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: 15 January 2025 | Viewed by 1541

Special Issue Editors

Dr. Georgios Fotis

E-Mail Website
Guest Editor
Centre for Energy Technologies, Aarhus University, 7400 Herning, Denmark
Interests: power system protection; electrical power engineering; power systems simulation; power systems analysis; simulation; electrical engineering; engineering, applied and computational mathematics; transformers; power engineering; power transmission; electrostatic discharge; electromagnetic compatibility; high voltages
Special Issues, Collections and Topics in MDPI journals
Dr. Christos-Spyridon Karavas

E-Mail Website
Guest Editor
Department of Natural Resources Development and Agricultural Engineering, School of Environment and Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos Street, 11855 Athens, Greece
Interests: microgrids; electric vehicles; renewable energy; decentralized energy management system; multi-agent systems; smart grids; computational intelligence approaches; energy management and control of energy systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Power system analysis and operation have traditionally given special consideration to voltage control and the stability issues it raises. In order to ensure stability, power quality, reliability, and safety in the transmission and distribution of the power grid, efficient voltage control is required. Variations in load have historically been the primary cause of voltage control. Nowadays, because of the recent developments in distributed generation, renewable energy sources, underground and undersea power cable connections, and the highly dynamic states, power systems have been associated with high complexity. Voltage control and stability problems in transmission have been transferred to the distribution network. However, the widespread development of increasingly sophisticated distribution management techniques and active distribution networks has been made possible by the growing adoption of distributed generation, which has led to the contribution of distribution networks to voltage stability. Additionally, the high penetration of renewable energy sources and their lack of predictability in power production, aggravating the problem of consistently matching supply with demand on electric grids, might cause a major blackout that was less possible in the previous decade. Voltage stability is thought to be the most important issue that microgrids present to the power engineering community, especially when switching from a grid-connected mode to islanding mode. Voltage stability of the main grid and the microgrid would be of concern during such changes. Therefore, based on the above, the topics of interest for this Special Issue include the following: Voltage stability issues in the power grid as well as in islanded and grid-connected microgrids. Voltage control and stability analysis. Modeling and contingency analysis of power systems. The role of smart inverters for microgrid voltage stability. Modelling and control of energy storage systems to deal with issues concerning voltage stability. Applications of FACTS devices for voltage stability. Power system dynamics and simulation. Finally, this Special Issue invites and encourages authors to submit original theoretical and practical contributions, as well as review papers, on any topic related to the future of power systems’ voltage stability.

Dr. Georgios Fotis
Dr. Christos-Spyridon Karavas
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. Energies is an international peer-reviewed open access semimonthly 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 2600 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

  • blackout
  • distributed generation
  • FACTS controller
  • microgrids
  • power system outages
  • power system stability
  • reactive power control
  • smart inverters
  • voltage collapse
  • voltage control
  • voltage stability

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Published Papers (2 papers)

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Research

13 pages, 2078 KiB  
Article
Transient Stability Assessment in Power Systems: A Spatiotemporal Graph Convolutional Network Approach with Graph Simplification
by Dan Zhang, Yuan Yang, Bingjie Shen, Tao Wang and Min Cheng
Energies 2024, 17(20), 5095; https://doi.org/10.3390/en17205095 - 14 Oct 2024
Viewed by 692
Abstract
Accurate and fast transient stability assessment (TSA) of power systems is crucial for safe operation. However, deep learning-based methods require long training and fail to simultaneously extract the spatiotemporal characteristics of the transient process in power systems, limiting their performance in prediction. This [...] Read more.
Accurate and fast transient stability assessment (TSA) of power systems is crucial for safe operation. However, deep learning-based methods require long training and fail to simultaneously extract the spatiotemporal characteristics of the transient process in power systems, limiting their performance in prediction. This paper proposes a novel TSA method based on a spatiotemporal graph convolutional network with graph simplification. First, based on the topology and node information entropy of power grids, as well as the power flow of each node, the input characteristic matrix is compressed to accelerate evaluation. Then, a high-performance TSA model combining a graph convolutional network and a Gated Convolutional Network is constructed to extract the spatial features of the power grid and the temporal features of the transient process. This model establishes a mapping relationship between spatiotemporal features and their transient stability. Finally, the focal loss function has been improved to dynamically adjust the influence of samples with different levels of difficulty on model training, adaptively addressing the challenge of sample imbalance. This improvement reduces misclassification rates and enhances overall accuracy. Case studies on the IEEE 39-bus system demonstrate that the proposed method is rapid, reliable, and generalizable. Full article
(This article belongs to the Special Issue Power System Voltage Stability, Modelling, Analysis and Control)
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29 pages, 13314 KiB  
Article
Integrating Microgrids into Engineering Education: Modeling and Analysis for Voltage Stability in Modern Power Systems
by Farheen Bano, Ali Rizwan, Suhail H. Serbaya, Faraz Hasan, Christos-Spyridon Karavas and Georgios Fotis
Energies 2024, 17(19), 4865; https://doi.org/10.3390/en17194865 - 27 Sep 2024
Viewed by 587
Abstract
The research focuses on incorporating microgrids into engineering curricula for achieving voltage stability in today’s power systems. This helps to meet the increasing demand for engineers to integrate distributed power generation and renewable energy sources. Some limitations of the current literature include the [...] Read more.
The research focuses on incorporating microgrids into engineering curricula for achieving voltage stability in today’s power systems. This helps to meet the increasing demand for engineers to integrate distributed power generation and renewable energy sources. Some limitations of the current literature include the absence of models outlining approaches to microgrid education and limited insight into teaching strategies for electrical power systems. The research used a quantitative methodology to survey 100 engineering students enrolled in a microgrid modeling class to achieve the study’s objectives. The data analysis involved machine learning models such as Random Forest, Gradient Boosting, K-Means, hierarchical clustering, and regression models. The major findings identified exam score as the most significant determiner of student performance (weight ≈ 0.40). Based on the clustering analysis, it was found that microgrid systems can be grouped into four operational states. It was also seen that linear regression models were highly accurate and better than other highly complex models, like Decision Tree, with a model accuracy of R2 ≈ 0.4. One of the study’s major strengths is the potential impact of the proposed framework for integrating microgrids into engineering education on the professional training of engineers. This framework, based on theoretical knowledge and practical experience as well as on developing advanced analytical skills, can significantly enhance the professional training of engineers to deal with the complexities of contemporary power systems, including microgrids and sustainable energy progress. Full article
(This article belongs to the Special Issue Power System Voltage Stability, Modelling, Analysis and Control)
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