Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.9
Journals
Sensors
Special Issues
Energy Transition, Advanced Sensors and Technique for Measurement on Electrical...
sensors-logo
Submit to Sensors Review for Sensors Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Energy Transition, Advanced Sensors and Technique for Measurement on Electrical Power Grid

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 6455

Special Issue Editors

Prof. Dr. Silvia Sangiovanni

E-Mail Website
Guest Editor
Department of Astronautics, Electrical and Energy Engineering, Sapienza University of Rome, 00184 Rome, Italy
Interests: wearable devices; impedance, power and energy measurement in sinusoidal and non-sinusoidal condition; power quality; data acquisition
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Marco Laracca

E-Mail Website
Guest Editor
Department of Astronautics, Electrical and Energy Engineering, Sapienza University of Rome, 00184 Rome, Italy
Interests: non destructive testing via eddy current; sensor design; realization and characterization; wearable devices; impedance, power, and energy measurement in sinusoidal and non-sinusoidal condition; non contact current measurement; power quality; calibration of vehicle speed meters
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the era of energy transition, the integration of distributed energy resources such as solar, photovoltaics, and energy storage systems offers important benefits. The e-mobility is one of the major actors of this transition with the need to think on new electrical storage and recharging systems acting on the power grid.

The infrastructure of the existing grids, however, was not designed to coordinate and safely manage this fast transition. Traditional utility, sensors, data acquisition and monitoring systems are ill-equipped to gain real-time visibility of devices connected to the grid.

The widespread use of new power electronic devices and the presence of distributed and renewable energy resources present in smart grids have also gained the power quality problems.

Some of the main features of a new smart grid are self-healing from power disturbances, efficient energy management, automation based on information and communication technology (ICT) and advanced metering infrastructures, integration of distributed power generation, renewable energy resources and storage units as well as high quality and reliability.

In this Special Issue, we invite original research papers and review articles on sensors and techniques for measurement on electrical power grids facing the challenge generated by the in-progress energy transition.

Prof. Dr. Silvia Sangiovanni
Prof. Dr. Marco Laracca
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. Sensors 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 quality
  • distributed sensors
  • voltage and current sensors, instrument transformers
  • fault location isolation and accomodation
  • smart sensors
  • sensor characterization
  • sensors for smart grids
  • renewable energies
  • e-mobility
  • non-contact sensors

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

21 pages, 6386 KiB  
Article
Low-Cost Online Partial Discharge Monitoring System for Power Transformers
by Wojciech Sikorski and Artur Wielewski
Sensors 2023, 23(7), 3405; https://doi.org/10.3390/s23073405 - 23 Mar 2023
Cited by 6 | Viewed by 3242
Abstract
The article presents in detail the construction of a low-cost, portable online PD monitoring system based on the acoustic emission (AE) technique. A highly sensitive piezoelectric transducer was used as the PD detector, whose frequency response characteristics were optimized to the frequency of [...] Read more.
The article presents in detail the construction of a low-cost, portable online PD monitoring system based on the acoustic emission (AE) technique. A highly sensitive piezoelectric transducer was used as the PD detector, whose frequency response characteristics were optimized to the frequency of AE waves generated by discharges in oil–paper insulation. The popular and inexpensive Teensy 3.2 development board featuring a 32-bit MK20DX256 microcontroller with the ARM Cortex-M4 core was used to count the AE pulses. The advantage of the system is its small dimensions and weight, easy and quick installation on the transformer tank, storage of measurement data on a memory card, battery power supply, and immediate readiness for operation without the need to configure. This system may contribute to promoting the idea of short-term (several days or weeks) PD monitoring, especially in developing countries where, with the dynamically growing demand for electricity, the need for inexpensive transformer diagnostics systems is also increasing. Another area of application is medium-power transformers (up to 100 MVA), where temporary PD monitoring using complex measurement systems requiring additional infrastructure (e.g., control cabinet, cable ducts for power supply, and data transmission) and qualified staff is economically unjustified. Full article
(This article belongs to the Special Issue Energy Transition, Advanced Sensors and Technique for Measurement on Electrical Power Grid)
►▼ Show Figures

Figure 1

19 pages, 22296 KiB  
Article
Detection of Power Line Insulators in Digital Images Based on the Transformed Colour Intensity Profiles
by Michał Tomaszewski, Rafał Gasz and Jakub Osuchowski
Sensors 2023, 23(6), 3343; https://doi.org/10.3390/s23063343 - 22 Mar 2023
Cited by 2 | Viewed by 1594
Abstract
Proper maintenance of the electricity infrastructure requires periodic condition inspections of power line insulators, which can be subjected to various damages such as burns or fractures. The article includes an introduction to the problem of insulator detection and a description of various currently [...] Read more.
Proper maintenance of the electricity infrastructure requires periodic condition inspections of power line insulators, which can be subjected to various damages such as burns or fractures. The article includes an introduction to the problem of insulator detection and a description of various currently used methods. Afterwards, the authors proposed a new method for the detection of the power line insulators in digital images by applying selected signal analysis and machine learning algorithms. The insulators detected in the images can be further assessed in depth. The data set used in the study consists of images acquired by an Unmanned Aerial Vehicle (UAV) during its overflight along a high-voltage line located on the outskirts of the city of Opole, Opolskie Voivodeship, Poland. In the digital images, the insulators were placed against different backgrounds, for example, sky, clouds, tree branches, elements of power infrastructure (wires, trusses), farmland, bushes, etc. The proposed method is based on colour intensity profile classification on digital images. Firstly, the set of points located on digital images of power line insulators is determined. Subsequently, those points are connected using lines that depict colour intensity profiles. These profiles were transformed using the Periodogram method or Welch method and then classified with Decision Tree, Random Forest or XGBoost algorithms. In the article, the authors described the computational experiments, the obtained results and possible directions for further research. In the best case, the proposed solution achieved satisfactory efficiency (F1 score = 0.99). Promising classification results indicate the possibility of the practical application of the presented method. Full article
(This article belongs to the Special Issue Energy Transition, Advanced Sensors and Technique for Measurement on Electrical Power Grid)
►▼ Show Figures

Figure 1

26 pages, 15231 KiB  
Article
Online SFRA for Reliability of Power Systems: Characterization of a Batch of Healthy and Damaged Induction Motors for Predictive Maintenance
by Giovanni Bucci, Fabrizio Ciancetta, Andrea Fioravanti, Edoardo Fiorucci, Simone Mari and Andrea Silvestri
Sensors 2023, 23(5), 2583; https://doi.org/10.3390/s23052583 - 26 Feb 2023
Cited by 3 | Viewed by 1170
Abstract
Asynchronous motors represent a large percentage of motors used in the electrical industry. Suitable predictive maintenance techniques are strongly required when these motors are critical in their operations. Continuous non-invasive monitoring techniques can be investigated to avoid the disconnection of the motors under [...] Read more.
Asynchronous motors represent a large percentage of motors used in the electrical industry. Suitable predictive maintenance techniques are strongly required when these motors are critical in their operations. Continuous non-invasive monitoring techniques can be investigated to avoid the disconnection of the motors under test and service interruption. This paper proposes an innovative predictive monitoring system based on the online sweep frequency response analysis (SFRA) technique. The testing system applies variable frequency sinusoidal signals to the motors and then acquires and processes the applied and response signals in the frequency domain. In the literature, SFRA has been applied to power transformers and electric motors switched off and disconnected from the main grid. The approach described in this work is innovative. Coupling circuits allow for the injection and acquisition of the signals, while grids feed the motors. A comparison between the transfer functions (TFs) of healthy motors and those with slight damage was performed with a batch of 1.5 kW, four-pole induction motors to investigate the technique’s performance. The results show that the online SFRA could be of interest for monitoring induction motors’ health conditions, especially for mission-critical and safety-critical applications. The overall cost of the whole testing system, including the coupling filters and cables, is less than EUR 400. Full article
(This article belongs to the Special Issue Energy Transition, Advanced Sensors and Technique for Measurement on Electrical Power Grid)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop