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Power and Signal Transmission Lines Modeling and Large Network Analysis

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

Deadline for manuscript submissions: closed (31 March 2020) | Viewed by 6824

Special Issue Editors


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Guest Editor
DIAEE—Electrical Engineering Division, University of Rome “La Sapienza”, Via Eudossiana 18, 00184 Rome, Italy
Interests: EMC; shielding; grounding; electrical systems modelling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Astronautical, Electrical and Energetic Engineering University of Rome La Sapienza Via Eudossiana 18, 00184 Rome, Italy
Interests: electromagnetic compatibility; energy harvesting; graphene electrodynamics; numerical and analytical techniques for modeling high-speed printed circuit boards; shielding; transmission lines; periodic structures; devices based on graphene
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The analysis and modeling of power and telecommunication transmission lines represent an evergreen and hot topic in the scientific community. The transients originated by switching operations or external fields call for improvements in the models and analysis methods in order to obtain accurate results in computational times quickly enough that stochastic investigations can be afforded in reasonable times, even in the presence of large networks.

This Special Issue will deal with novel models and/or methods for power and telecommunications transmission lines. Topics of interest include, but are not limited to:

  • Transient analysis of power and signal networks;
  • Coupling of EM fields with transmission lines;
  • Nonuniform lines;
  • Corona influence on transients and power line telecommunications;
  • Algorithms for the efficient analysis of large electric networks.

Prof. Dr. Salvatore Celozzi
Prof. Dr. Rodolfo Araneo
Guest Editors

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Published Papers (2 papers)

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Research

22 pages, 4741 KiB  
Article
Bulk FDTD Simulation of Distributed Corona Effects and Overvoltage Profiles for HSIL Transmission Line Design
by Jon T. Leman and Robert G. Olsen
Energies 2020, 13(10), 2474; https://doi.org/10.3390/en13102474 - 14 May 2020
Cited by 8 | Viewed by 3006
Abstract
Power system load growth and transmission corridor constraints are driving industry activity in the area of high surge impedance loading (HSIL). Examples include compact structure design and uprating existing transmission lines. Recent research relating electric field uniformity to transmission line capacity and critical [...] Read more.
Power system load growth and transmission corridor constraints are driving industry activity in the area of high surge impedance loading (HSIL). Examples include compact structure design and uprating existing transmission lines. Recent research relating electric field uniformity to transmission line capacity and critical flashover voltage underscored the need for better overvoltage data to quantify insulation margins for HSIL design. To that end, this work extends the finite difference time domain (FDTD) method with distributed corona losses to transmission lines with bundled conductors. The model was adapted for practical use in high-volume statistical transient simulation and applied to an example 500 kV line. Transients included line energization and trapped charge reclosing. Overvoltage profiles and statistical distributions were generated from 9500 simulations obtained by random breaker close timing and variation in line length and altitude. Distributed corona losses reduced 98th percentile line-to-ground switching overvoltages by 4%–14% of nominal. The estimated line-to-ground switching surge flashover probability was 54%–80% lower with corona loss. Corona had less impact on line-to-line overvoltages, but the effects were still notable. Results highlight the importance of considering detailed overvoltage profiles and accounting for corona loss attenuation when seeking to carefully quantify insulation design margins. Full article
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19 pages, 1589 KiB  
Article
Analysis of Metal Oxide Varistor Arresters for Protection of Multiconductor Transmission Lines Using Unconditionally-Stable Crank–Nicolson FDTD
by Erika Stracqualursi, Rodolfo Araneo, Giampiero Lovat, Amedeo Andreotti, Paolo Burghignoli, Jose Brandão Faria and Salvatore Celozzi
Energies 2020, 13(8), 2112; https://doi.org/10.3390/en13082112 - 24 Apr 2020
Cited by 11 | Viewed by 3191
Abstract
Surge arresters may represent an efficient choice for limiting lightning surge effects, significantly reducing the outage rate of power lines. The present work firstly presents an efficient numerical approach suitable for insulation coordination studies based on an implicit Crank–Nicolson finite difference time domain [...] Read more.
Surge arresters may represent an efficient choice for limiting lightning surge effects, significantly reducing the outage rate of power lines. The present work firstly presents an efficient numerical approach suitable for insulation coordination studies based on an implicit Crank–Nicolson finite difference time domain method; then, the IEEE recommended surge arrester model is reviewed and implemented by means of a local implicit scheme, based on a set of non-linear equations, that are recast in a suitable form for efficient solution. The model is proven to ensure robustness and second-order accuracy. The implementation of the arrester model in the implicit Crank–Nicolson scheme represents the added value brought by the present study. Indeed, its preserved stability for larger time steps allows reducing running time by more than 60 % compared to the well-known finite difference time domain method based on the explicit leap-frog scheme. The reduced computation time allows faster repeated solutions, which need to be looked for on assessing the lightning performance (randomly changing, parameters such as peak current, rise time, tail time, location of the vertical leader channel, phase conductor voltages, footing resistance, insulator strength, etc. would need to be changed thousands of times). Full article
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