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Energy, Electrical and Power Engineering: 4th Edition

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

Deadline for manuscript submissions: 25 September 2025 | Viewed by 777

Special Issue Editor


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Guest Editor
Department of Electrical Machine, Zhejiang University, Hangzhou 310024, China
Interests: permanent magnet motor; high speed train traction system; high efficiency motor drive system for EV; fault tolerant motor drives for aerospace; PMSM motor intelligent control
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Special Issue Information

Dear Colleagues,

Energy and power are playing an increasingly pivotal role in our modern life and are transforming the way we utilize energy and the way we live. This Special Issue will bring together the latest innovations and knowledge in energy and power engineering such as new and renewable energy, power electronics and electric motor drives, distributed generation and multi-energy systems, data analytics, and artificial intelligence. You are invited to contribute to the Special Issue and present your new work.

Topics of interest include, but are not limited to, the following:

  • Analog and digital signal processing;
  • Artificial intelligence;
  • Big data and data processing;
  • Bioenergy and utilization;
  • Communication systems;
  • Control theory and optimization;
  • Diagnosis and sensing systems;
  • Distributed generation;
  • Electrical generators;
  • Electrical motor drives;
  • Electromagnetic and applied superconductivity;
  • Electronics, information, and control systems;
  • Energy market and power system economics;
  • Energy storage;
  • Engineering materials and processes;
  • Fuel cells and applications;
  • Industrial process control and automation;
  • Intelligent control systems;
  • Mechatronics and robotics;
  • Modeling, simulation, and analysis;
  • Nuclear energy;
  • Power electronic converters;
  • Power generation and sustainable environment;
  • Power quality and electromagnetic compatibility;
  • Power planning and scheduling;
  • Power semiconductors;
  • Predictive control;
  • Protection, operation, and control;
  • Real-time control;
  • Reliability and security;
  • Renewable energy;
  • Sensors, instruments, and measuring technologies;
  • Smart cities and smart grids;
  • Solar energy and photovoltaics;
  • Transmission and distribution systems;
  • Wind energy.

Thank you very much for your participation.

Prof. Dr. Xiaoyan Huang
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

  • power converters
  • motor drives
  • electrified vehicles
  • wind power generation
  • measurement techniques

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Related Special Issue

Published Papers (5 papers)

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Research

13 pages, 846 KiB  
Article
A Probabilistic Reserve Decision-Making Method Based on Cumulative Probability Approximation for High-Penetration Renewable Energy Power System
by Yun Yang, Zichao Meng, Guobing Wu, Zhanxin Yang and Ruipeng Guo
Energies 2025, 18(10), 2658; https://doi.org/10.3390/en18102658 - 21 May 2025
Abstract
Probabilistic modeling of net load forecast errors is an important approach for reserve decision-making in power systems with a high penetration of renewable energy. However, existing probabilistic modeling methods face issues such as insufficient estimation accuracy in the small probability interval of the [...] Read more.
Probabilistic modeling of net load forecast errors is an important approach for reserve decision-making in power systems with a high penetration of renewable energy. However, existing probabilistic modeling methods face issues such as insufficient estimation accuracy in the small probability interval of the tails or increased complexity in probability decision-making problems. A probabilistic reserve decision-making method based on cumulative probability approximation is proposed. By using key points on the cumulative probability distribution curve of net load forecast error samples, this method enhances the fitting accuracy of the normal distribution model in the small probability interval of the tail, resulting in an optimal reserve outcome with the desired comprehensive expected profit. Using relevant renewable energy output and load data from actual transmission networks in Guangdong Province, China, the proposed method demonstrates good practical value. Full article
(This article belongs to the Special Issue Energy, Electrical and Power Engineering: 4th Edition)
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16 pages, 5681 KiB  
Article
Reactive Power Compensation for Single-Phase AC Motors Using Integral Power Theory
by Grzegorz Kosobudzki, Daniel Dusza, Marek Pawel Ciurys and Aleksander Leicht
Energies 2025, 18(10), 2641; https://doi.org/10.3390/en18102641 - 20 May 2025
Abstract
The paper investigates an alternative approach to measuring and compensating reactive power in electric machines, particularly under non-sinusoidal voltage and current waveforms. Traditional power definitions, such as those introduced by Budeanu and Fryze, as well as the power triangle, are discussed alongside integral [...] Read more.
The paper investigates an alternative approach to measuring and compensating reactive power in electric machines, particularly under non-sinusoidal voltage and current waveforms. Traditional power definitions, such as those introduced by Budeanu and Fryze, as well as the power triangle, are discussed alongside integral definitions of reactive power, which account for waveform distortions. This approach is novel and has not been previously applied in the context of electric machines. A digital algorithm for reactive power calculation, based on the integral definition, is proposed. It requires minimal computational resources and is easy to implement. Experimental measurements conducted on a single-phase induction motor demonstrate the impact of capacitive compensation on current waveforms. The results confirm the validity of the adopted definition of reactive power. With full reactive power compensation, the RMS value of the current drawn by the motor is minimized, which is not always the case with the classical approach to improving the power factor. The findings highlight the importance of accurate reactive power measurement and compensation in enhancing the performance and energy efficiency of electrical machines. The proposed approach is applicable not only to single-phase motors but also more broadly in determining the reactive power drawn by electric machines and in measuring electric energy, particularly in the presence of distorted voltages and currents. Full article
(This article belongs to the Special Issue Energy, Electrical and Power Engineering: 4th Edition)
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26 pages, 3971 KiB  
Article
Design of a Controller for Supercapacitor’s Bidirectional High-Gain Interleaved Converter
by Jessica C. A. Sousa, Thiago M. Soares, Jonathan M. Tabora and Hugo G. Lott
Energies 2025, 18(10), 2605; https://doi.org/10.3390/en18102605 - 17 May 2025
Viewed by 177
Abstract
This study focuses on the mathematical modeling, control design, and analysis of an interleaved bidirectional high-voltage-gain DC-DC converter for energy management in supercapacitors. The state of the art is reviewed, with an emphasis on research related to DC-DC converters and energy storage systems. [...] Read more.
This study focuses on the mathematical modeling, control design, and analysis of an interleaved bidirectional high-voltage-gain DC-DC converter for energy management in supercapacitors. The state of the art is reviewed, with an emphasis on research related to DC-DC converters and energy storage systems. The characteristics and modeling of the supercapacitors are thoroughly analyzed. The converter’s operation in both buck and boost modes is described, detailing its operating stages, design parameters, and component sizing. The modeling accounts for the dynamics of the converter in both operational modes. PI controllers and compensation techniques were implemented to ensure the desired performance and meet the design criteria. Simulations were conducted using PSIM software, version 2023.1, with a power flow of 1 kW, a 48 V DC bus (buck mode), and a 162 V supercapacitor module (boost mode), operating at 500 kHz. The performance of the controllers was evaluated during both the charging and discharging processes of the supercapacitor, analyzing the dynamic response and behavior in the continuous mode, even in the presence of system disturbances. Full article
(This article belongs to the Special Issue Energy, Electrical and Power Engineering: 4th Edition)
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31 pages, 997 KiB  
Article
A Data-Driven Approach to Voltage Stability Support via FVSI-Based Distributed Generator Placement in Contingency Scenarios
by Manuel Jaramillo, Diego Carrión, Filippos Perdikos and Luis Tipan
Energies 2025, 18(10), 2466; https://doi.org/10.3390/en18102466 - 11 May 2025
Viewed by 201
Abstract
This research presents a novel methodology based on data analysis for improving voltage stability in transmission systems. The proposal aims to determine a single distributed generator’s optimal location and sizing using the Fast Voltage Stability Index (FVSI) as the primary metric under [...] Read more.
This research presents a novel methodology based on data analysis for improving voltage stability in transmission systems. The proposal aims to determine a single distributed generator’s optimal location and sizing using the Fast Voltage Stability Index (FVSI) as the primary metric under N1 contingency conditions. The developed strategy systematically identifies the most critical transmission lines close to instability through a frequency analysis of the FVSI in the base case and across multiple contingency scenarios. Subsequently, the weak buses associated with the most critical line are determined, on which critical load increases are simulated. The Distributed Generator (DG) sizing and location parameters are then optimized through a statistical analysis of the inflection point and the rate of change of the FVSI statistical parameters. The methodology is validated in three case studies: IEEE systems with 14, 30, and 118 buses, demonstrating its scalability and effectiveness. The results show significant reductions in FVSI values and notable improvements in voltage profiles under stress and contingency conditions. For example, in the 30-bus IEEE system, the average FVSI for all contingency scenarios was reduced by 26% after applying the optimal solution. At the same time, the voltage profiles even exceeded those of the base case. This strategy represents a significant contribution, as it is capable of improving the stability of the electrical power system in all N1 contingency scenarios with overload at critical nodes. Using a single DG as a low-cost and highly effective corrective measure, the proposed approach outperforms conventional solutions through statistical analysis and a data-centric approach. Full article
(This article belongs to the Special Issue Energy, Electrical and Power Engineering: 4th Edition)
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17 pages, 6128 KiB  
Article
Beam Shape Control System with Cylindrical Lens Optics for Optical Wireless Power Transmission
by Kenta Moriyama, Kaoru Asaba and Tomoyuki Miyamoto
Energies 2025, 18(9), 2310; https://doi.org/10.3390/en18092310 - 30 Apr 2025
Viewed by 217
Abstract
Due to its narrow divergence, optical wireless power transmission (OWPT) is promising for long-distance transmission systems. In OWPT systems, matching the beam shape with the solar cell geometry is crucial for both efficiency and safety. When the light is incident at an oblique [...] Read more.
Due to its narrow divergence, optical wireless power transmission (OWPT) is promising for long-distance transmission systems. In OWPT systems, matching the beam shape with the solar cell geometry is crucial for both efficiency and safety. When the light is incident at an oblique angle, the beam is distorted in an axial direction, which requires appropriate beam shape control. In this study, a cylindrical lens system was designed to ensure uniform and effective light beam irradiation, even under oblique incidence conditions. A numerical model of the optical system was constructed, and it was experimentally confirmed that the beam shape could be controlled within 5% error over a transmission range of 1 m. The optical system was integrated with solar cell detection for consistent target recognition and beam irradiation, and its functionality was experimentally validated. The results are useful for expanding the application and infrastructure design in OWPT. Full article
(This article belongs to the Special Issue Energy, Electrical and Power Engineering: 4th Edition)
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