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Machines
Special Issues
Electrical Machines and Drives: Modeling, Simulation and Testing
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Electrical Machines and Drives: Modeling, Simulation and Testing

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

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 5720

Special Issue Editors

Prof. Dr. Sorin Enache

E-Mail Website
Guest Editor
Department of Electromechanics, Environment and Applied Informatics, Electrical Engineering Faculty, University of Craiova, 200440 Craiova, Romania
Interests: electrical machines; electrical measurements; automotive; electromagnetic compatibility
Prof. Dr. Petre-Marian Nicolae

E-Mail Website
Guest Editor
Department of Electrical Engineering, Electrical Engineering Faculty, University of Craiova, 200440 Craiova, Romania
Interests: basics of electrical engineering; electrical drives; diagnosis and monitoring; electromagnetic compatibility; data acquisition systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electrical machines and drives have been central elements of various applications in high and average power electrical engineering for over a century. Owing to the increase in the diversity of specialized electrical machines, with their functional and constructive particularities, it has also been possible to operate them in low power.

Lately, this domain has reached another level as a result of new applications in connection with the concept of “global warming”, one more reason for electrical machines and drives to become a domain of interest for many researchers over the whole world. Among the various examples, it is worth mentioning those used in automotive industry (electrical and hybrid cars) and for renewable energies (wind energy, wave energy, etc.).

This Special Issue aims at presenting, first of all, the most recent issues regarding modeling, simulation and testing of electrical machines and their component electrical drives.

Issues to be considered here, among others, include:

  • mathematical models of electrical machines (considered with and without saturation);
  • modeling of power converters used for electrical drives;
  • new simulation software developed within electrical machines;
  • representative dynamic and steady regimes;
  • testing methods on stand and in situ;
  • data acquisition systems used to improve the functionality of electrical machines;
  • analysis of electromagnetic compatibility and electromagnetic interferences due to electrical machines and electrical drives where there are incorporated;
  • modern possibilities of command and control;
  • design algorithms and software;
  • special materials and/or technologies used to build new generation of optimized variant, etc.

In this Special Issue, the submission of papers containing only pure simulations and no experimental validation is discouraged.

Prof. Dr. Sorin Enache
Prof. Dr. Petre-Marian Nicolae
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.

Keywords

  • electrical machines
  • electrical drives
  • power converters
  • power electronics
  • modeling simulation
  • tests
  • electromagnetic compatibility
  • control
  • design

Published Papers (4 papers)

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Research

19 pages, 7670 KiB  
Article
Automated Maximum Torque per Ampere Identification for Synchronous Reluctance Machines with Limited Flux Linkage Information
by Shuo Wang, Vasyl Varvolik, Yuli Bao, Ahmed Aboelhassan, Michele Degano, Giampaolo Buticchi and He Zhang
Machines 2024, 12(2), 96; https://doi.org/10.3390/machines12020096 - 29 Jan 2024
Viewed by 908
Abstract
The synchronous reluctance machine is well-known for its highly nonlinear magnetic saturation and cross-saturation characteristics. For high performance and high-efficiency control, the flux-linkage maps and maximum torque per ampere table are of paramount importance. This study proposes a novel automated online searching method [...] Read more.
The synchronous reluctance machine is well-known for its highly nonlinear magnetic saturation and cross-saturation characteristics. For high performance and high-efficiency control, the flux-linkage maps and maximum torque per ampere table are of paramount importance. This study proposes a novel automated online searching method for obtaining accurate flux-linkage and maximum torque per ampere Identification. A limited 6 × 2 dq-axis flux-linkage look-up table is acquired by applying symmetric triangle pulses during the self-commissioning stage. Then, three three-dimensional modified linear cubic spline interpolation methods are applied to extend the flux-linkage map. The proposed golden section searching method can be easily implemented to realize higher maximum torque per ampere accuracy after 11 iterations with a standard drive, which is a proven faster solution with reduced memory sources occupied. The proposed algorithm is verified and tested on a 15-kW SynRM drive. Furthermore, the iterative and execution times are evaluated. Full article
(This article belongs to the Special Issue Electrical Machines and Drives: Modeling, Simulation and Testing)
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34 pages, 24960 KiB  
Article
Determining the Remaining Functional Life of Power Transformers Using Multiple Methods of Diagnosing the Operating Condition Based on SVM Classification Algorithms
by Ancuța-Mihaela Aciu, Maria-Cristina Nițu, Claudiu-Ionel Nicola and Marcel Nicola
Machines 2024, 12(1), 37; https://doi.org/10.3390/machines12010037 - 04 Jan 2024
Cited by 1 | Viewed by 951
Abstract
Starting from the current need for the safety of energy systems, in which power transformers play a key role, the study of the health of power transformers in service is a difficult and complex task, since the assessment consists of identifying indicators that [...] Read more.
Starting from the current need for the safety of energy systems, in which power transformers play a key role, the study of the health of power transformers in service is a difficult and complex task, since the assessment consists of identifying indicators that can provide accurate data on the extent of degradation of transformer components and subcomponents, in order to establish a model for predicting the remaining life of transformers. Therefore, this paper proposes a model for assessing the remaining service life by diagnosing the condition of the transformer based on the health index (HI) obtained from a multi-parameter analysis. To determine the condition of power transformers, a number of methods are presented based on the combination of the combined Duval pentagon (PDC) method and ethylene concentration (C2H4) to determine the fault condition, the combination of the degree of polymerisation (DP) and moisture to determine the condition of the cellulose insulation and the use of the oil quality index (OQIN) to determine the condition of the oil. For each of the classification methods presented, applications based on machine learning (ML), in particular support vector machine (SVM), have been implemented for automatic classification using the Matlab development environment. The global algorithmic approach presented in this paper subscribes to the idea of event-based maintenance. Two case studies are also presented to validate SVM-based classification methods and algorithms. Full article
(This article belongs to the Special Issue Electrical Machines and Drives: Modeling, Simulation and Testing)
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24 pages, 4914 KiB  
Article
Experimental Study of the Dynamic Short-Circuit Withstand Capability of an 8400 kVA Power Transformer Specially Designed for Photovoltaic Applications
by Cristian-Eugeniu Sălceanu, Cătălin Dobrea, Daniel Ocoleanu, Marcel Nicola, Daniela Iovan and Maria-Cristina Nițu
Machines 2023, 11(10), 969; https://doi.org/10.3390/machines11100969 - 17 Oct 2023
Cited by 1 | Viewed by 1523
Abstract
This article, besides offering data of great value for any designer of high-power short-circuits of special three-winding design, illustrates the correlation with the corresponding FRA measurements, validating this type of measurement. The frequency response measurements can provide data about the transformer’s status after [...] Read more.
This article, besides offering data of great value for any designer of high-power short-circuits of special three-winding design, illustrates the correlation with the corresponding FRA measurements, validating this type of measurement. The frequency response measurements can provide data about the transformer’s status after it is put into service, its vulnerability in incipient states, and, particularly for this type of transformer, its insulation, which is the subject of high dielectric stress due to its invertor working regime. This article presents the behavior of a three-phase 8400 kVA medium-voltage step-up transformer (corrugated hermetic tank) specially designed for photovoltaic applications during short-circuit tests. This transformer, fed by two inverters, has two secondaries with elliptical windings (non-circular aluminum foil for LV windings and an aluminum conductor for HV windings). Various experiments were performed, including measurements of winding resistance, measurements of voltage ratio, measurements of short-circuit impedance and load loss on three tappings, measurements of no-load loss and current, a frequency response analysis, and short-circuiting. These experiments were performed to study the behavior of the transformer, which, in real life, is powered by photovoltaic inverters on the LV side that feed into the MV grid on the HV side, making it the interface between the photovoltaic inverter and the MV grid. An auxiliary supply transformer may be connected to the LV side. Given these elements, concerning both the importance and the particularities of the problem studied, we can say that this article represents a niche study on the guarantee of good functioning and safety in operation given the passing of the test to withstand the dynamic effects of short-circuiting. Full article
(This article belongs to the Special Issue Electrical Machines and Drives: Modeling, Simulation and Testing)
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16 pages, 7023 KiB  
Article
Temperature Rise Calculation of the High Speed Magnetic Suspension Motor Based on Bidirectional Electromagnetic–Thermal–Fluid Coupling Analysis
by Xiaolu Hu, Guibing Shi, Yifan Lai, Juntao Yu, Li Wang and Yumei Song
Machines 2023, 11(3), 364; https://doi.org/10.3390/machines11030364 - 07 Mar 2023
Cited by 1 | Viewed by 1623
Abstract
In order to accurately analyze the temperature distribution of a high-speed magnetic suspension amorphous motor, a multi-physical coupling method, including flow field, electromagnetic field and temperature field, is proposed. The electromagnetic loss obtained by electromagnetic analysis is directly mapped to the temperature field [...] Read more.
In order to accurately analyze the temperature distribution of a high-speed magnetic suspension amorphous motor, a multi-physical coupling method, including flow field, electromagnetic field and temperature field, is proposed. The electromagnetic loss obtained by electromagnetic analysis is directly mapped to the temperature field and input to the boundary conditions of the flow field for several coupled iterations. This paper compares the thermal analysis results of two different temperature rise calculation methods, analyzes the temperature distribution of magnetic suspension amorphous motor under different working conditions, and discusses the simulation results and the measured results. The error between the multi-field coupling simulation results and the experimental results is less than 10 °C, and the error of the traditional temperature rise analysis method is 30 °C, which verifies the superiority of the proposed coupling analysis method in improving the calculation accuracy of motor temperature rise, and has important significance for the accurate prediction of motor temperature rise in the design stage. Full article
(This article belongs to the Special Issue Electrical Machines and Drives: Modeling, Simulation and Testing)
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