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

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

Článek WoS

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.

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.

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

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

KADLEC, P.; MAREK, M.; ŠTUMPF, M.

2021

22.01.2020

0018-9375

IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY

62

5

Spojené státy americké

2111

21188

8

https://ieeexplore.ieee.org/document/8966283

FINAL VERSION