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Machines
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New Advances in Design, Optimization, and Control of Electric Machines...
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New Advances in Design, Optimization, and Control of Electric Machines for Electric Power Systems and Microgrids

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electrical Machines and Drives".

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 4415

Special Issue Editors

Dr. Daniel Guillen

E-Mail Website
Guest Editor
Instituto Tecnológico de Estudios Superiores Monterrey, ITESM, Monterrey, Mexico
Interests: power system modeling; power system protection; wide-area monitoring; signal processing; transient analysis
Dr. Pablo Gomez

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Western Michigan University, 1903 W Michigan Ave, Kalamazoo, MI 49008-5329, USA
Interests: electric power systems; electromagnetic transients; modeling of power equipment; design optimization; high voltage engineering
Dr. Luis Ibarra

E-Mail Website
Guest Editor
Tecnologico de Monterrey, Mexico City Campus, Mexico City 14380, Mexico
Interests: control systems; power systems; smart grids; micro grids; power electronics; artificial intelligence; electric machines; renebable energy; electromobility; mechatronics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Renato Galluzzi

E-Mail Website
Guest Editor
School of Engineering and Sciences, Tecnologico de Monterrey, Mexico City 14380, Mexico
Interests: regenerative shock absorbers; belt-drive systems; electric and hybrid powertrain; magnetic levitation; power actuators
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Pedro Ponce-Cruz

E-Mail Website
Guest Editor
Tecnologico de Monterrey, Mexico City Campus, Mexico City 14380, Mexico
Interests: smart grids; micro-grids; automation of industrial systems; electrical machines; electric drives; electric vehicles; power electronics; control systems; energy and buildings; renewable energy; machine learning; evolutionary systems; mechatronics; human–machine interaction; smart cities; robotics; rapid product design
Special Issues, Collections and Topics in MDPI journals
Dr. Enrique Melgoza-Vázquez

E-Mail Website
Guest Editor
Tecnológico Nacional de México/Instituto Tecnológico de Morelia, Morelia 58120, Mexico
Interests: computational electromagnetism, electromagnetic transients, and electric machines

Special Issue Information

Dear Colleagues,

The use of emerging technologies in electric power systems has boosted many recent applications to become widespread, such as electric traction, active distribution networks and microgrids. For all related technologies, there has been a big endeavor to developing research in several areas associated with electric machines, specially in their modeling, operation, and control. Additionally, electric machines play a key role in every particular task to ensure not only the power supply, but also in recent advances directed to alternative sources of energy, automotive applications, distribution grids and microgrids, and industrial processes that support themselves on electric power. This special issue goes in the direction of ongoing efforts around the new pathways of electrical engineering.

This Special Issue aims to address new advances in emerging topics of modeling, design, control, diagnostic, and protection of electric machienes for applications in power equipment, automotive, active distribution networks, and microgrids. A paper on one or more of the following subjects is especially welcomed:

  • Finite element analysis applied to machine design
  • Electric machine design based on deterministic/heuristic optimization
  • Electric machine control and management for automotive applications
  • Test strategies for validating electric machine design and control in relevant applications
  • Predictive control applications for electric machines
  • Data-driven control approaches for active distribution grids and microgrids
  • Electrical equipment diagnosis, and signal processing-based protection schemes
  • Optimization-based methods for planning and operation of active distribution networks and microgrids
  • Design and application of fault current limiters
  • Modeling of electric machines for transient analysis, and optimal electromagnetic design

Dr. Daniel Guillen
Dr. Pablo Gomez
Dr. Luis Ibarra
Dr. Renato Galluzzi
Dr. Pedro Ponce-Cruz
Dr. Enrique Melgoza-Vázquez
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. Machines 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.

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

Published Papers (2 papers)

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Research

17 pages, 6361 KiB  
Article
Analysis of Surface and Interior Permanent Magnet Motor Topologies for Active Electromagnetic Damping Applications
by Irving S. Aguilar-Zamorate, Renato Galluzzi, Luis Ibarra, Nicola Amati and Luis Arturo Soriano
Machines 2023, 11(7), 721; https://doi.org/10.3390/machines11070721 - 7 Jul 2023
Viewed by 1572
Abstract
Many modern high-end vehicles exploit controllable damping solutions to enhance their adaptability to different road conditions and driving styles. Among these technologies, active dampers offer improved performance due to their four-quadrant operation in the torque–speed plane. In active electromagnetic dampers, brushless permanent magnet [...] Read more.
Many modern high-end vehicles exploit controllable damping solutions to enhance their adaptability to different road conditions and driving styles. Among these technologies, active dampers offer improved performance due to their four-quadrant operation in the torque–speed plane. In active electromagnetic dampers, brushless permanent magnet machines are used because of their high torque density. However, to the best of our knowledge, a process to set the previously reported; likewise, which rotor topology exhibits the best performance in such cases has not been validated. Consequently, the resulting actuator could exhibit suboptimal dynamical performance and power conversion efficiency. Although some design processes have been formulated in the past for semiactive controllers (the damping is modified using a variable resistive load), they are not suitable for active suspension control. Similarly, there are existing solutions to increase conversion efficiency using mechanical motion rectifiers; however, active forces cannot be exerted, limiting their applicability to semiactive actuators. Therefore, this paper presents a design methodology, using finite element method together with MATLAB/Simulink™, to set and test the parameters of AC brushless PM machines, intended for actively controlled suspensions. A novel approach to set the base speed, which takes advantage of field-weakening capability, is also presented. To test the proposed method, three machines with well-known rotor topologies were designed and evaluated as case studies, and the surface-mounted topology was found to be the most suitable for the analyzed task. Full article
(This article belongs to the Special Issue New Advances in Design, Optimization, and Control of Electric Machines for Electric Power Systems and Microgrids)
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19 pages, 5138 KiB  
Article
Prony Method Estimation as a New Approach for Surge Comparison Testing in Turn Insulation Diagnostics for Three Phase Stator Windings
by Luis Alonso Trujillo Guajardo, Luis Humberto Rodríguez Alfaro, Johnny Rodríguez Maldonado, Mario Alberto González Vázquez, Fernando Salinas Salinas and Meng Yen Shih
Machines 2023, 11(2), 241; https://doi.org/10.3390/machines11020241 - 6 Feb 2023
Cited by 2 | Viewed by 1840
Abstract
This article presents an evaluation of Prony method estimation and its implementation considerations for surge comparison test application in turn insulation diagnostics for three-phase stator windings. Surge testing diagnostics compares recorded surge voltage signals of motor winding, and a diagnostic is then defined [...] Read more.
This article presents an evaluation of Prony method estimation and its implementation considerations for surge comparison test application in turn insulation diagnostics for three-phase stator windings. Surge testing diagnostics compares recorded surge voltage signals of motor winding, and a diagnostic is then defined with a defined value of EAR (error area ratio), which evaluates the difference between signals to determine a turn insulation diagnostic. First, an overview of surge testing is presented. Next, the Prony method and the considerations for its implementation in surge testing are described. Then, a numerical simulation is used to define a simulated turn fault surge voltage signal, where its parameters can be obtained with Prony method estimation and compared with EAR to evaluate its performance. Lastly, recorded surge test signals from two tested motors are used to validate Prony method estimation application for surge test diagnostics, where twelve recorded surge signals for no-fault and fault conditions were analyzed. The summary results of the surge signals parameter estimation are presented in the results and discussion section. Full article
(This article belongs to the Special Issue New Advances in Design, Optimization, and Control of Electric Machines for Electric Power Systems and Microgrids)
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