Publication detail

Lightning Stroke Localization – A Time-Domain Approach Based on Evolutionary Optimization

KADLEC, P. MAREK, M. ŠTUMPF, M.

Original Title

Lightning Stroke Localization – A Time-Domain Approach Based on Evolutionary Optimization

Type

journal article in Web of Science

Language

English

Original Abstract

In the present paper we analyze a localization problem based on evolutionary optimization algorithms and an analytical EM-field-to-line coupling model. A computationally efficient, analytical model for calculating time-domain lightninginduced voltages serves as the forward solver in the optimization process. The model takes into account electric permittivity and conductivity of a lossy ground. The inverse problem is solved with the aid of a single-objective global optimization algorithm. It is demonstrated that the Covariant Matrix Adaptation - Evolution Strategy algorithm shows the best performance among considered state-of-the-art algorithms. The influence of other problem parameters, e.g. the size of the search space, the fluctuation of the return-stroke pulse width and amplitude, and the presence of noise, on the localization error is discussed. While the growing size of the search domain has a significant impact on the convergence properties of the optimization process, this is not the case for the signal distortion, whose influence can be virtually neglected.

Keywords

Lightning Stroke, Transmission Line, Evolutionary Optimization, Time-Domain Analysis

Authors

KADLEC, P.; MAREK, M.; ŠTUMPF, M.

Released

22. 1. 2020

ISBN

0018-9375

Periodical

IEEE Transaction on Electromagnetic Compatibility

Year of study

62

Number

5

State

United States of America

Pages from

2111

Pages to

21188

Pages count

8

URL

BibTex

@article{BUT161030,
  author="Petr {Kadlec} and Martin {Marek} and Martin {Štumpf}",
  title="Lightning Stroke Localization – A Time-Domain Approach Based on Evolutionary Optimization",
  journal="IEEE Transaction on Electromagnetic Compatibility",
  year="2020",
  volume="62",
  number="5",
  pages="2111--21188",
  doi="10.1109/TEMC.2020.2964059",
  issn="0018-9375",
  url="https://ieeexplore.ieee.org/document/8966283"
}