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Advanced Fault Diagnosis, Control Design and Emerging Technologies in Power...
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Advanced Fault Diagnosis, Control Design and Emerging Technologies in Power Systems for a Sustainable Production, Distribution and Use of Electrical Energy

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 September 2023) | Viewed by 4265

Special Issue Editors

Dr. Giovanni Cipriani

E-Mail Website
Guest Editor
Department of Engineering, University of Palermo, Viale delle Scienze - Edificio 9, 90128 Palermo, Italy
Interests: photovoltaic systems; renewable energies sources; electrical machines and drives
Special Issues, Collections and Topics in MDPI journals
Dr. Filippo Pellitteri

E-Mail Website
Guest Editor
Department of Engineering, University of Palermo, Viale delle Scienze, Parco d’Orleans, 90128 Palermo, Italy
Interests: power converters; electric drives; inductive power transfer; energy harvesting; renewable energy; hybrid energy storage systems; wide-bandgap devices
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Guest Editors are inviting submissions to this Special Issue of Energies entitled “Advanced Fault Diagnosis, Control Design and Emerging Technologies in Power Systems for a Sustainable Production, Distribution and Use of Electrical Energy”. Submissions may include original research articles or comprehensive reviews.

Nowadays, power electronic converters are key components in determining the performances of the whole energy systems in a wide variety of applications, e.g., renewable power plants, electrical drives for automotive applications, grid-connection, energy storage management, transportation and wave energy conversion. Fault diagnosis, efficient conversion and control of electrical power are relevant in the evolution of the power systems. Advanced design criteria and control techniques are required to meet such conflicting requirements.

Furthermore, innovative monitoring systems and diagnostic techniques are essential to identify faults in advance, thus reducing economic losses due to limited performance and lost production.

Based on these preliminary remarks, this Special Issue will focus on the new emerging technologies and control approaches regarding power converters, electrical drives and electrical machines, applied to various research fields. Topics of interest include, but are not limited to, the following:

  • Advanced fault diagnosis and control design in power systems;
  • Modular converters for fault-tolerant systems;
  • New topologies of power converters;
  • Power electronics for storage systems’ charge and management;
  • New emerging power converters;
  • Reliability in emerging power devices;
  • Traction converters and emerging electrical machines for mobility;
  • Integration of e-mobility in a smart city through smart grids and coupling with renewable sources;
  • Grid-connected power converters;
  • Power converters for renewable energy sources.

Dr. Giovanni Cipriani
Dr. Filippo Pellitteri
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

  • power electronics
  • renewable energy
  • power converters
  • energy storage
  • reliability
  • efficiency
  • control design
  • renewable energy systems
  • condition monitoring
  • fault diagnosis
  • fault tolerance
  • diagnostic techniques
  • failure studies and root cause analysis, reliability analysis, remnant life assessment

Published Papers (3 papers)

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Research

17 pages, 4500 KiB  
Article
Optimal Selection of Conductors in Distribution System Designs Using Multi-Criteria Decision
by Diego Ponce, Alexander Aguila Téllez and Narayanan Krishnan
Energies 2023, 16(20), 7167; https://doi.org/10.3390/en16207167 - 20 Oct 2023
Cited by 1 | Viewed by 990
Abstract
The growth in the demand for electrical energy, which is driven by the constant growth of the metropolises and the expansion of the productive capacities of the industrial sector, entails the inevitable development of the electrical system to satisfy all the required demands [...] Read more.
The growth in the demand for electrical energy, which is driven by the constant growth of the metropolises and the expansion of the productive capacities of the industrial sector, entails the inevitable development of the electrical system to satisfy all the required demands in a convenient, efficient, and reliable manner. In this scenario, power distribution companies will continue to need to expand their electrical systems in the short and medium term to obtain the lowest investment and operating prices for the period considered in the analysis horizon. The expansion of the system can be projected statically or dynamically, which depends on the criteria that each distributor, in turn, applies in their expansion projects. Multi-criteria decision making can provide deeper analysis perspectives considering infinite possibilities for optimal network sizing and the technical, operational, quality of service, and even system reliability factors. This research proposes a multi-criteria decision technique based on the CRITIC method to determine the optimal design of an electrical distribution system. For this purpose, several design scenarios are defined with different types of electrical conductors, and the power flows are calculated in each. From these simulations, the results obtained in voltage profiles, namely active and reactive power losses, current levels, and the costs associated with the conductors used, are recorded. With the multi-criteria technique, the winning alternative is the design scenario containing the best joint solutions for the analysis variables. The proposed methodology is validated in an IEEE 34-bar test system. The Matpower tool, available through Matlab, generates power flows for each proposed design case. The results obtained in the analysis variables are generated and stored in a decision matrix of 210 alternatives. The proposed method represents a novel and powerful alternative for design proposals of distribution systems considering quality, efficiency, and cost criteria. Full article
(This article belongs to the Special Issue Advanced Fault Diagnosis, Control Design and Emerging Technologies in Power Systems for a Sustainable Production, Distribution and Use of Electrical Energy)
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24 pages, 8848 KiB  
Article
Prevention of Wildfires Using an AI-Based Open Conductor Fault Detection Method on Overhead Line
by Junsoo Che, Taehun Kim, Suhan Pyo, Jaedeok Park, Byeonghyeon An and Taesik Park
Energies 2023, 16(5), 2366; https://doi.org/10.3390/en16052366 - 1 Mar 2023
Viewed by 1555
Abstract
Overhead lines that are exposed to the outdoors are susceptible to faults such as open conductors on weak points and disconnection caused by external factors such as typhoons. Arcs that occur during disconnection generate energy at a high heat of over 10,000 °C, [...] Read more.
Overhead lines that are exposed to the outdoors are susceptible to faults such as open conductors on weak points and disconnection caused by external factors such as typhoons. Arcs that occur during disconnection generate energy at a high heat of over 10,000 °C, requiring swift fault shut-off. However, most conventional fault detection methods to protect electrical power systems detect an overcurrent; thus, they can only detect faults after the line is disconnected and the cross-section of the line that generates the arc discharge makes contact with another line or the ground, causing a high risk of fire. Furthermore, in the case of ground faults owing to the disconnection of overhead lines, the load and the grounding impedance are not parallel. Therefore, in the case of the fault current not exceeding the threshold or a high impedance fault due to the high grounding impedance of the surrounding environment, such as grass or trees, it is difficult to determine overhead line faults with conventional fault detection methods. To solve these issues, this paper proposes an AI-based open conductor fault detection method on overhead lines that can clear the fault before the falling open conductor line comes into contact with the ground’s surface so as to prevent fire. The falling time according to the height and span of the overhead line was calculated using a falling conductor model for the overhead line, to which the pendulum motion was applied. The optimal input data cycle that enables fault detection before a line–ground fault occurs was derived. For artificial intelligence learning to prevent wildfires, the voltage and current signals were collected through a total of 432 fault simulations and were wavelet-transformed with a deep neural network to verify the method. The proposed total scheme was simulated and verified with MATLAB. Full article
(This article belongs to the Special Issue Advanced Fault Diagnosis, Control Design and Emerging Technologies in Power Systems for a Sustainable Production, Distribution and Use of Electrical Energy)
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20 pages, 877 KiB  
Article
Open-Circuit Fault Detection and Location in AC-DC-AC Converters Based on Entropy Analysis
by Cristina Morel and Ahmad Akrad
Energies 2023, 16(4), 1959; https://doi.org/10.3390/en16041959 - 16 Feb 2023
Cited by 4 | Viewed by 1333
Abstract
Inverters and converters contain more and more power electronics switches which may subsequently affect their reliability. Therefore, fault detection and location are essential to improve their reliability and to ensure continuous operation. In this paper, an  [...] Read more.
Inverters and converters contain more and more power electronics switches which may subsequently affect their reliability. Therefore, fault detection and location are essential to improve their reliability and to ensure continuous operation. In this paper, an AC−DC−AC converter with three-phase inverter is investigated under permanent, single and multiple open-circuit fault scenarios. Many entropies and multiscale entropies are then proposed to evaluate the complexity of the output currents by quantifying their entropies over a range of temporal scales. Among the multitude of entropies, only some entropies are able to differentiate healthy from open-circuit faulty conditions. Moreover, the simulation results show that these entropies are able to detect and locate the arms of the bridge with open-circuit faults. Full article
(This article belongs to the Special Issue Advanced Fault Diagnosis, Control Design and Emerging Technologies in Power Systems for a Sustainable Production, Distribution and Use of Electrical Energy)
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