Simulation analysis of thunderstorm activity law of wind farm station based on cumulative probability fitting of lightning current amplitude

Mingxu Zhang; Xiaodong Zhang; Nan Qi; Ge Chen

doi:10.1117/12.3024699

13 May 2024 Simulation analysis of thunderstorm activity law of wind farm station based on cumulative probability fitting of lightning current amplitude

Mingxu Zhang, Xiaodong Zhang, Nan Qi, Ge Chen

Author Affiliations +

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315927 (2024) https://doi.org/10.1117/12.3024699
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Using Maxwell 3D to simulate the measured values of wind farms is susceptible to distortion, resulting in mismatches between the analyzed thunderstorm field strengths of different main towers and the actual thunderstorm field strengths. Therefore, it is necessary to design a new simulation and analysis method for thunderstorm activity patterns in wind farms. That is, to correct the thunderstorm data of the atmospheric electric field instrument, combined with the fitting of lightning current amplitude and lightning probability, to establish a simulation model for the thunderstorm activity law of the wind farm, and complete the simulation analysis of the thunderstorm activity law of the wind farm station. The example analysis results show that the thunderstorm electric field strength of different main towers analyzed is in good agreement with the actual thunderstorm electric field strength, which has good analysis results, reliability, and certain application value. It has made a certain contribution to reducing the thunderstorm risk of wind farm stations.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mingxu Zhang, Xiaodong Zhang, Nan Qi, and Ge Chen "Simulation analysis of thunderstorm activity law of wind farm station based on cumulative probability fitting of lightning current amplitude", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315927 (13 May 2024); https://doi.org/10.1117/12.3024699

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KEYWORDS

Electric fields

Lightning

Clouds

Equipment

Data modeling

Device simulation

Analytical research

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