Journal of Shanghai Jiao Tong University ›› 2022, Vol. 56 ›› Issue (3): 353-360.doi: 10.16183/j.cnki.jsjtu.2020.301

Special Issue: 《上海交通大学学报》“新型电力系统与综合能源”专题(2022年1~6月)

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

An Improved TDOA Lightning Location Approach Considering L-M Algorithm and Acoustics

LUO Yaoying1, BIAN Hongzhi3, LIU Quanzhen2, LIU Baoquan2, FU Zhengcai1, ZHANG Jianxun3, LIU Yakun1()   

  1. 1. Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200030, China
    2. State Key Laboratory of Chemicals Safety, Sinopec Qingdao Safety Engineering Research Institute, Qingdao 266071, Shandong, China
    3. Construction Branch of State Grid Fujian Electric Power Co., Ltd., Fuzhou 350001, China
  • Received:2020-09-21 Online:2022-03-28 Published:2022-04-01
  • Contact: LIU Yakun


In the conventional lightning location system (LLS) based on time difference of arrival (TDOA), the nonlinear equations in lightning location calculation easily get to be divergent when the time information acquired from electromagnetic sensors is redundant. The LLS setup in lightning-sensitive regions in China usually experiences a development from detecting the thunderclap signal to the electromagnetic signal, such as the LLSs in oil tank farms. Therefore, an improved TDOA lightning location approach was proposed considering the acoustic and electromagnetic information emitted from lightning discharges. The targeted lightning monitoring region was divided into 16 sub-regions according to the location of the existing detection stations. The lightning location was calculated based on the Levenberg-Marquardt (L-M) iterative algorithm, which improves the lightning location accuracy and the resistance ability to measuring errors. The results show that the average error of the traditional lightning location method is 203.2 m. In contrast, the proposed approach can reduce the lightning location error to 108.4 m by considering the acoustic information and L-M iteration algorithm. The location accuracy at the edge of the targeted area is improved by 51.2%. This research can be potentially counseled in the improvement of existing LLSs and making an effective use of acoustic information.

Key words: lightning location, time difference of arrival (TDOA), Levenberg-Marquardt (L-M) algorithm, acoustic signal

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