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Smart Fault Diagnostics and Monitoring for Energy System

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

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 1932

Special Issue Editors

Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, 67100 L’Aquila, Italy
Interests: measurement system; sensor and transducer; energy system; data processing; real-time system; automatic test equipment
Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, L’Aquila, Italy
Interests: smart system; fault diagnostics; measurement and monitoring system; distributed measurement system; signal processing; multilevel inverter; IoT system; real-time system; data processing
Special Issues, Collections and Topics in MDPI journals
Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, L’Aquila, Italy
Interests: pc-based instrumentation; measurement systems for power quality evaluation; measurement systems for automatic testing of electrical machines and electrical power measurements; smart web sensors for distributed measurement applications; medical instrumentation

Special Issue Information

Dear Colleagues,

This Special Issue aims to present both review and original research articles related to “Smart Fault Diagnostics and Monitoring for Energy Systems”. The Special Issue is open to contributions ranging from the proposal of new fault diagnostics and monitoring systems for energy systems; measurement systems; new algorithms and data processing for condition monitoring and fault diagnostics; Big Data analysis and AI applied to fault diagnostics; development of smart systems which are able to check the status of an energy system; IoT systems developed in accordance with the I4.0 paradigm for fault diagnostics and monitoring systems; new real-time monitoring systems; and new distributed measurment systems for monitoring energy systems.

Prof. Giovanni Bucci
Prof. Fabrizio Ciancetta
Prof. Edoardo Fiorucci
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

  • Fault diagnostics
  • Monitoring system
  • Smart system
  • Energy system
  • Measurement system
  • Real-time measurement system

Published Papers (1 paper)

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Research

15 pages, 2726 KiB  
Article
Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids
by Ting Wang, Liliuyuan Liang, Xinrang Feng, Ferdinanda Ponci and Antonello Monti
Energies 2021, 14(18), 5630; https://doi.org/10.3390/en14185630 - 07 Sep 2021
Cited by 4 | Viewed by 1413
Abstract
Fast and accurate identification of short-circuit faults is important for post-fault service restoration and maintenance in DC distribution grids. Yet multiple power sources and complex system topologies complicate the fault identification in multi-terminal DC distribution grids. To address this challenge, this paper introduces [...] Read more.
Fast and accurate identification of short-circuit faults is important for post-fault service restoration and maintenance in DC distribution grids. Yet multiple power sources and complex system topologies complicate the fault identification in multi-terminal DC distribution grids. To address this challenge, this paper introduces an approach that achieves fast online identification of both the location and the severity of faults in multi-terminal DC distribution grids. First, a generic model describing the dynamic response of DC lines to both pole-to-ground and pole-to-pole faults with fault currents injected from both line ends is developed. On this basis, a Kalman filter is adopted to estimate both the fault location and resistance. In the real-time simulation of various fault scenarios in a three-terminal DC distribution grid model with Opal-RT platform, the proposed method is proved to be effective with a short response time of less than 1 ms. Full article
(This article belongs to the Special Issue Smart Fault Diagnostics and Monitoring for Energy System)
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