Next Article in Journal
Short-Term Effects of Drying and Rewetting on CO2 and CH4 Emissions from High-Altitude Peatlands on the Tibetan Plateau
Next Article in Special Issue
On the Momentum Transported by the Radiation Field of a Long Transient Dipole and Time Energy Uncertainty Principle
Previous Article in Journal
Characteristics of PM10 Chemical Source Profiles for Geological Dust from the South-West Region of China
Previous Article in Special Issue
On Practical Implementation of Electromagnetic Models of Lightning Return-Strokes
Article Menu

Export Article

Open AccessArticle
Atmosphere 2016, 7(11), 147; doi:10.3390/atmos7110147

A Methodology to Reduce the Computational Effort in the Evaluation of the Lightning Performance of Distribution Networks

1
Department of Mechanical, Energy, Management and Transportation Engineering, University of Genoa, I-16145 Genoa, Italy
2
Department of Naval, Electrical, and ICT Engineering, University of Genoa, I-16145 Genoa, Italy
3
EMC Laboratory, Swiss Federal Institute of Technology, CH-1015 Lausanne, Switzerland
*
Author to whom correspondence should be addressed.
Academic Editor: Vernon Cooray
Received: 24 August 2016 / Revised: 7 November 2016 / Accepted: 15 November 2016 / Published: 20 November 2016
View Full-Text   |   Download PDF [1826 KB, uploaded 25 November 2016]   |  

Abstract

The estimation of the lightning performance of a power distribution network is of great importance to design its protection system against lightning. An accurate evaluation of the number of lightning events that can create dangerous overvoltages requires a huge computational effort, as it implies the adoption of a Monte Carlo procedure. Such a procedure consists of generating many different random lightning events and calculating the corresponding overvoltages. The paper proposes a methodology to deal with the problem in two computationally efficient ways: (i) finding out the minimum number of Monte Carlo runs that lead to reliable results; and (ii) setting up a procedure that bypasses the lightning field-to-line coupling problem for each Monte Carlo run. The proposed approach is shown to provide results consistent with existing approaches while exhibiting superior Central Processing Unit (CPU) time performances. View Full-Text
Keywords: lightning performance; Monte Carlo method; Critical Flashover Voltage lightning performance; Monte Carlo method; Critical Flashover Voltage
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Bendato, I.; Brignone, M.; Delfino, F.; Procopio, R.; Rachidi, F. A Methodology to Reduce the Computational Effort in the Evaluation of the Lightning Performance of Distribution Networks. Atmosphere 2016, 7, 147.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top