Detail publikace

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

KADLEC, P. MAREK, M. ŠTUMPF, M.

Originální název

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

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

KADLEC, P.; MAREK, M.; ŠTUMPF, M.

Vydáno

22. 1. 2020

ISSN

0018-9375

Periodikum

IEEE Transaction on Electromagnetic Compatibility

Ročník

62

Číslo

5

Stát

Spojené státy americké

Strany od

2111

Strany do

21188

Strany počet

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"
}