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16 October 2024 Simulation of spatio-temporal lightning distribution characteristics of wind farm station based on spatio-temporal interpolation method and Bayesian network
Qiunan Sui, Yuhan Jiang, Hui Ma, Mandatu Li
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Proceedings Volume 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024); 1329131 (2024) https://doi.org/10.1117/12.3033955
Event: Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 2024, Changchun, China
Abstract
The conventional simulation analysis method for the lightning distribution characteristics of wind farms mainly uses the moment method to calculate the lightning distribution parameters, which is easily affected by the dynamic changes of a lightning waveform, resulting in a significant deviation between the simulated current amplitude and the actual current amplitude. Therefore, it is necessary to design a new method for simulating and analyzing the lightning distribution characteristics of wind farms based on spatiotemporal interpolation and Bayesian networks. Based on the spatiotemporal interpolation method, a lightning transient feature model for wind farm sites was constructed, and the simulation parameters of lightning distribution characteristics at wind farm sites were calculated using Bayesian networks. The example analysis results show that the deviation between the current amplitude and the actual current amplitude is small, which proves that the designed simulation analysis method has good analysis results, reliability, and application value, making a certain contribution to improving the operational safety of wind farms.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Qiunan Sui, Yuhan Jiang, Hui Ma, and Mandatu Li "Simulation of spatio-temporal lightning distribution characteristics of wind farm station based on spatio-temporal interpolation method and Bayesian network", Proc. SPIE 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 1329131 (16 October 2024); https://doi.org/10.1117/12.3033955
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KEYWORDS
Lightning
Interpolation
Analytical research
Wind turbine technology
Transformers
Device simulation
Design
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