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Particle swarm optimization-based algorithm for lightning location estimation

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4 Author(s)
Zhixiang Hu ; Sch. of Civil Eng. & Mech., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Yinping Wen ; Wenguang Zhao ; Hongping Zhu

Lightning early warning requires lightning location systems to process sensors' measurements in near real time. A new algorithm based on particle swarm optimization (PSO) is developed to provide reliable and immediate solutions of lightning location and occurrence time. Comparing with iterative-type algorithms, the PSO-based algorithm does not require initial value and is easy to program. Different parameter choice schemes for the PSO-based method are discussed and compared. The performance of the proposed algorithm is investigated by numerical test. The results show that the PSO-based algorithm is very suitable to solve the lightning location problem with high stability and very short time.

Published in:

Natural Computation (ICNC), 2010 Sixth International Conference on  (Volume:5 )

Date of Conference:

10-12 Aug. 2010