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Energies
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Advanced Electric Power Systems, 2nd Edition
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Advanced Electric Power Systems, 2nd Edition

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 1383

Special Issue Editor

Prof. Dr. Ying-Yi Hong

E-Mail Website
Guest Editor
Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan City 32023, Taiwan
Interests: smart grid; control and planning for microgrid; intelligent methods applied to power systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Reliable power delivery from a generation system through transmission and distribution systems to end-users is crucial in a power market. A power system is a large-scale, dynamic, and nonlinear system, which has potential security, stability, or reliability problems. Thus, the development of advanced technologies and innovative methods applied to the modern electric power system is vital. Distributed generation resources, energy storage systems, electric vehicles, power electronics, demand responses, and advanced control devices are particularly addressed in a modern electric power system. To combat such problems, many approaches have been presented, such as hybrid intelligent systems, deep learning, big data analytics, decentralized control, wide area measurement, IoT, and advanced optimization.

This Special Issue seeks to publish original papers on the generation, transmission, distribution, and utilization of electrical energy. It also aims to present important results on electric power systems based on applied research, the development of new algorithms or components, the original application of existing knowledge, or new facilities applied to power systems.

Papers in the relevant area of advanced electric power systems, including (but not limited to) the following, are invited:

  • Power system stability;
  • Power system reliability;
  • FACTS applied to power systems;
  • Power system optimization;
  • Intelligent methods applied to power system studies;
  • Power market and demand response programs;
  • The control of generation systems;
  • The operation of distribution systems;
  • The control, operation, and planning of distributed generation resources;
  • The control, operation, and planning of energy storage systems and electric vehicles;
  • Smart communities with energy management systems;
  • Renewable energy forecasting;
  • Microgrids and virtual power plants;
  • Active distribution networks;
  • Harmonics/voltage power quality;
  • Power system resiliency.

Prof. Dr. Ying-Yi Hong
Guest Editor

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

  • stability
  • reliability
  • sustainability
  • security
  • vulnerability
  • resiliency
  • smart grid

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Related Special Issue

Published Papers (3 papers)

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Research

20 pages, 3285 KiB  
Article
Rapid Resilience Assessment and Weak Link Analysis of Power Systems Considering Uncertainties of Typhoon
by Wenqing Ma, Xiaofu Xiong and Jian Wang
Energies 2025, 18(7), 1731; https://doi.org/10.3390/en18071731 - 31 Mar 2025
Viewed by 215
Abstract
The secure operation of the renewable-integrated power system is affected by extreme weather conditions such as typhoons. In order to meet the operational requirements of the system, it is necessary to dynamically evaluate the resilience of the renewable-integrated power systems based on meteorological [...] Read more.
The secure operation of the renewable-integrated power system is affected by extreme weather conditions such as typhoons. In order to meet the operational requirements of the system, it is necessary to dynamically evaluate the resilience of the renewable-integrated power systems based on meteorological forecast information to guide operators to make reasonable risk prevention and control decisions. A rapid assessment method for power system resilience is proposed to address the uncertainty of extreme weather caused by typhoons. First, with a focus on the impact of typhoon disasters on power system components, corresponding failure probability models are constructed by taking typhoon meteorological forecast information as input and considering the uncertainty of typhoon meteorological forecast. Error probability circles and average absolute errors of intensity forecasts are included in the sampling of typhoon scenarios. Second, for the resilience assessment process, the impact increment method is used to reduce the dimensionality of multiple fault state analysis in the power system, and resilience indexes are calculated by screening the contingency set based on depth-first traversal through a backtracking algorithm. The weak links in the power system are identified through sensitivity analysis of load loss. Finally, the effectiveness of the proposed method is verified using the modified IEEE RTS-79 power system. Full article
(This article belongs to the Special Issue Advanced Electric Power Systems, 2nd Edition)
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26 pages, 1887 KiB  
Article
Enhancing Frequency Event Detection in Power Systems Using Two Optimization Methods with Variable Weighted Metrics
by Hussain A. Alghamdi, Midrar A. Adham, Umar Farooq and Robert B. Bass
Energies 2025, 18(7), 1659; https://doi.org/10.3390/en18071659 - 26 Mar 2025
Viewed by 186
Abstract
This research presents a novel technique that refines the performance of a frequency event detection algorithm with four adjustable parameters based on signal processing and statistical methods. The algorithm parameters were optimized using two well-established optimization techniques: Grey Wolf Optimization and Particle Swarm [...] Read more.
This research presents a novel technique that refines the performance of a frequency event detection algorithm with four adjustable parameters based on signal processing and statistical methods. The algorithm parameters were optimized using two well-established optimization techniques: Grey Wolf Optimization and Particle Swarm Optimization. Unlike conventional approaches that apply equally weighted metrics within the objective function, this work implements variable weighted metrics that prioritize specificity, thereby strengthening detection accuracy by minimizing false-positive events. Realistic small- and large-scale frequency datasets were processed and analyzed, incorporating various events, quasi-events, and non-events obtained from a phasor measurement unit in the Western Interconnection. An analytical comparison with an algorithm that uses equally weighted metrics was performed to assess the proposed method’s effectiveness. The results demonstrate that the application of variable weighted metrics enables the detection algorithm to identify frequency non-events, thereby significantly reducing false positives reliably. Full article
(This article belongs to the Special Issue Advanced Electric Power Systems, 2nd Edition)
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16 pages, 2157 KiB  
Article
High-Voltage Measurement Infrastructure Based on Optical Technology for Transmission Lines
by Mauro Augusto da Rosa, Clayrton Monteiro Henrique, Gabriel Santos Bolacell, Hermes Irineu Del Monego and Paulo César Rodrigues de Lima Junior
Energies 2025, 18(4), 830; https://doi.org/10.3390/en18040830 - 11 Feb 2025
Viewed by 732
Abstract
This paper introduces a singular measurement infrastructure for real-time monitoring of transmission lines, applied to a 230 kV section of the Brazilian grid. The system aimed to expand the scope of monitoring variables using new concepts of optical sensing. Thus, variables are captured [...] Read more.
This paper introduces a singular measurement infrastructure for real-time monitoring of transmission lines, applied to a 230 kV section of the Brazilian grid. The system aimed to expand the scope of monitoring variables using new concepts of optical sensing. Thus, variables are captured not only in the electrical domain but also in the mechanical, thermal, and environmental domains through optical technologies and meteorological measurement sensors strategically positioned along the transmission line. The system relies on new features, including a high-voltage polymeric insulator instrumentalized with optical fiber sensors to measure line electrical current, conductor temperature, mechanical strain, and an electro-optical signal processing unit fed by a solar system. The correlations between the monitored variables provide more complete information about what happens in the transmission line compared to the analysis of purely electrical quantities. For instance, the Spearman coefficient of 0.9909 highlights the strong correlation between anchoring force and ambient temperature. This new way of monitoring systems opens the doors to a multivariate power system analysis. Full article
(This article belongs to the Special Issue Advanced Electric Power Systems, 2nd Edition)
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