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Research on Diagnosis and Performance of Power Inverter in Power System

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

Deadline for manuscript submissions: closed (20 June 2023) | Viewed by 6891

Special Issue Editors

Centro de Investigacion y Posgrado, Facultad de Ingenieria, Dr. Manuel Nava #8, Zona Universitaria, C.P. 78290 San Luis Potosi, Mexico
Interests: power quality; power electronics; renewable energy technologies; power generation; electrical and electronics engineering; converters; power factor correction; harmonics; grid integration; high power electronics
Multidisciplinary Studies Department, Engineering Division. Campus Irapuato-Salamanca, University of Guanajuato, Salamanca, Mexico
Interests: power quality; power electronics; renewable energy; electronics engineering; harmonics; fault diagnosis; real time applications; digital signal processing; hardware processing; machine learning

Special Issue Information

Dear Colleagues,

A power converter is an essential component of any electric system based on renewable energy sources. Around the world, the number of renewable energy power plants has increased, for instance, photovoltaic power plants and wind farms, which project themselves as key solutions to environmental contamination and the actual fossil-fuel crisis, attracting the attention of government, industry, and researchers around the globe. As described before, power converters play a very important role in any renewable energy power system, since they are necessary to achieve cross-network connection and energy conversion. Today, power converters are widely used in network-connected-system applications, for example, electric vehicles, charging stations, power supplies, motor drivers, wind-based energy systems, solar-based energy systems, and power quality improvement with various topologies, among many others. In all these applications, power converters have greatly increased their reliability and adaptability to different environmental conditions, semiconductor failures, and variable load demands. This evolution in power converters is mainly because of continuous research to produce innovative contributions in control schemes, fault diagnostics, synchronization, resilience and switching schemes, taking advantage of the technological advances in different areas such as artificial intelligence, and the Internet of Things, which bring us one step closer to the implementation of power-converter systems capable of adapting to a wide number of applications by assessing their performance, looking for better results to be obtained through the adjustment of their behavior. Therefore, this Special Issue aims to discuss new advances in the design, performance assessment, and diagnostics of both traditional power converters and smart power converters in their different topologies. Novel theoretical and/or experimental contributions are welcome, as well as review articles of specific topics within the above-mentioned scope. Potential topics include but are not limited to:

  • Reliability, diagnosis of power converters;
  • New smart converter topologies;
  • Smart microgrids/nanogrids;
  • Advanced hardware design of power converters;
  • Real-time applications in power conversion;
  • Remote monitoring and diagnosis;
  • Accurate modelling techniques for grid-connected converters;
  • Power electronics integrated with a renewable energy source;
  • New DC–DC, AC–DC, DC–AC, and AC–AC topologies of power conversion;
  • Stability analysis techniques;
  • Control hardware in the loop.

Prof. Dr. Homero Miranda-Vidales
Dr. Misael Lopez-Ramirez
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

  • micro and nano grids
  • smart grid
  • renewable energy
  • switches
  • smart converter topologies
  • frequency modulation
  • voltage source converter

Published Papers (4 papers)

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Research

24 pages, 4312 KiB  
Article
A Reliability-Optimized Maximum Power Point Tracking Algorithm Utilizing Neural Networks for Long-Term Lifetime Prediction for Photovoltaic Power Converters
by Mahmoud Shahbazi, Niall Andrew Smith, Mousa Marzband and Habib Ur Rahman Habib
Energies 2023, 16(16), 6071; https://0-doi-org.brum.beds.ac.uk/10.3390/en16166071 - 19 Aug 2023
Viewed by 837
Abstract
The reliability of power converters in photovoltaic systems is critical to the overall system reliability. This paper proposes a novel active thermal-controlled algorithm that aims to reduce the rate of junction temperature increase, therefore, increasing the reliability of the device. The algorithm works [...] Read more.
The reliability of power converters in photovoltaic systems is critical to the overall system reliability. This paper proposes a novel active thermal-controlled algorithm that aims to reduce the rate of junction temperature increase, therefore, increasing the reliability of the device. The algorithm works alongside a normal perturb and observe maximum power point tracking algorithm, taking control when certain temperature criteria are met. In conjunction with a neural network, the algorithm is applied to long-term real mission profile data. This would grant a better understanding of the real-world trade-offs between energy generated and lifetime improvement when using the proposed algorithm, as well as shortening study cycle times. The neural network, when applied to 365 days of data, was 28 times faster than using standard electrothermal modeling, and the lifetime consumption was predicted with greater than 96.5% accuracy. Energy generated was predicted with greater than 99.5% accuracy. The proposed algorithm resulted in a 3.3% reduction in lifetime consumption with a 1.0% reduction in the total energy generated. There is a demonstrated trade-off between lifetime consumption reduction and energy-generated reduction. The results are also split by environmental conditions. Under very variable conditions, the algorithm resulted in a 4.4% reduction in lifetime consumption with a 1.4% reduction in the total energy generated. Full article
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16 pages, 3566 KiB  
Article
Simulation Analysis of a Single-Phase AC Circuit with a Nonlinear Load
by Miroslaw Wcislik and Pawel Strzabala
Energies 2023, 16(3), 1386; https://0-doi-org.brum.beds.ac.uk/10.3390/en16031386 - 30 Jan 2023
Cited by 1 | Viewed by 1314
Abstract
The IEEE 1459 standard states that: “There is a need to quantify correctly the distortions caused by the nonlinear and parametric loads …” The paper undertakes this problem. The article includes an analysis of selected steady-state properties of a single-phase AC circuit containing [...] Read more.
The IEEE 1459 standard states that: “There is a need to quantify correctly the distortions caused by the nonlinear and parametric loads …” The paper undertakes this problem. The article includes an analysis of selected steady-state properties of a single-phase AC circuit containing a series connection of a resistance, an inductance, and a nonlinear element described by a signum function. The circuit is supplied from a sinusoidal voltage source. The mathematical model of this circuit is described using dimensionless variables. Based on the harmonic balance, a description of the circuit for the fundamental harmonic and the circuit for the remaining harmonics was separated. On the basis of the relationship between the current and voltage waveforms, the solution for all harmonics, the harmonic content coefficients, and the elements of the equivalent scheme of the nonlinear load, were estimated symbolically. Based on the circuit equations, a circuit model and measurement systems were developed in Simulink, as well as a program that controls these models in MATLAB and determines the characteristics of the circuit model. The paper presents selected circuit characteristics as a function of load voltage amplitude and circuit resistance. The conclusions drawn from these studies have practical significance. Full article
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15 pages, 4360 KiB  
Article
Short-Circuit Fault Diagnosis on Induction Motors through Electric Current Phasor Analysis and Fuzzy Logic
by Josue A. Reyes-Malanche, Francisco J. Villalobos-Pina, Efraın Ramırez-Velasco, Eduardo Cabal-Yepez, Geovanni Hernandez-Gomez and Misael Lopez-Ramirez
Energies 2023, 16(1), 516; https://0-doi-org.brum.beds.ac.uk/10.3390/en16010516 - 03 Jan 2023
Cited by 4 | Viewed by 2448
Abstract
Online monitoring of induction motors has increased significantly in recent years because these devices are essential components of any industrial process. Incipient fault detection in induction motors avoids interruptions in manufacturing processes and facilitates maintenance tasks to reduce induction motor timeout. Therefore, the [...] Read more.
Online monitoring of induction motors has increased significantly in recent years because these devices are essential components of any industrial process. Incipient fault detection in induction motors avoids interruptions in manufacturing processes and facilitates maintenance tasks to reduce induction motor timeout. Therefore, the proposal of novel approaches to assist in the detection and classification of induction motor faults is in order. In this work, a reliable and noninvasive novel technique that does not require computational demanding operations, since it just performs arithmetic calculations, is introduced for detecting and locating short-circuit faults in the stator windings of an induction motor. This method relies on phasor analysis and the RMS values of line currents, followed by a small set of simple if-then rules to perform the diagnosis and identification of stator winding faults. Obtained results from different experimental tests on a rewound induction motor stator to induce short-circuit faults demonstrate that the proposed approach is capable of identifying and locating incipient and advanced deficiencies in the windings’ insulation with high effectiveness. Full article
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19 pages, 1466 KiB  
Article
Harmonic Compensation via Grid-Tied Three-Phase Inverter with Variable Structure I&I Observer-Based Control Scheme
by Manuel Flota-Bañuelos, Homero Miranda-Vidales, Bernardo Fernández, Luis J. Ricalde, A. Basam and J. Medina
Energies 2022, 15(17), 6419; https://0-doi-org.brum.beds.ac.uk/10.3390/en15176419 - 02 Sep 2022
Cited by 6 | Viewed by 1412
Abstract
The power inverter topologies are indispensable devices to incorporate distributed generation schemes, like photovoltaic energy sources into the AC main. The nonlinear behavior of the power inverter draws a challenge when it comes to their control policy, rendering linear control methods often inadequate [...] Read more.
The power inverter topologies are indispensable devices to incorporate distributed generation schemes, like photovoltaic energy sources into the AC main. The nonlinear behavior of the power inverter draws a challenge when it comes to their control policy, rendering linear control methods often inadequate for the application. The control complexity can be further increased by the LCL filters, which are the preferred way to mitigate the current ripple caused by the inverter switching. This paper presents a robust variable structure control for a three-phase grid-tied inverter with an LCL filter. As well to the benefits of the sliding mode control (SMC), which is one of the control methods applied by power converters founded in literature, the proposed control scheme features a novel partial state observer based on the immersion and invariance technique, which thanks to its inherent robustness and speed of convergence is adequate for this application. This observer eliminates the need for physical current sensors, decreasing the overall cost and size, as well as probable sources of noise. The proposed controller is meant for a three-phase grid-tied inverter to inject active power to the grid while harmonics generated by nonlinear loads are compensated. The simulation results prove the effectiveness of the proposed method by compensating for current harmonics produced by the nonlinear loads and maintaining a low total harmonic distortion as recommended by the STD-IEEE519-2014, regardless of whether the system provides active power or not. Full article
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