DocumentCode :
105672
Title :
Optimization of Transmission-Line Route Based on Lightning Incidence Reported by the Lightning Location System
Author :
Yongfu Li ; Qing Yang ; Wenxia Sima ; Jiaqi Li ; Tao Yuan
Author_Institution :
State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
Volume :
28
Issue :
3
fYear :
2013
fDate :
Jul-13
Firstpage :
1460
Lastpage :
1468
Abstract :
Optimal route selection of a transmission line is significantly beneficial to reduce its lightning trip-out rate. This paper proposes a method, considering the minimal annual flash number to transmission lines, to select the optimal route from the initial point to the destination based on the lightning location system. First, the ground flash density and distribution of lightning peak current maps are drawn via the improved grid method. The flash grid and flash node are proposed based on these maps. The objective function is expressed as the summation of the grid distance of the flash node, and solved via the Dijkstra algorithm. The conditional minimum transit cost is also provided to find the optimal corridor. Five 500-kV transmission lines are used to validate the effectiveness of the proposed method. The results indicate that the annual expected flash numbers of all lines are markedly reduced.
Keywords :
lightning protection; power transmission protection; Dijkstra algorithm; conditional minimum transit cost; flash grid; flash node; grid distance summation; ground flash density; improved grid method; lightning incidence; lightning location system; lightning peak current map distribution; lightning trip-out rate reduction; minimal annual flash number; optimal corridor; optimal route selection; transmission-line route optimization; voltage 500 kV; Ash; Estimation; Lightning protection; Mathematical model; Optimization; Power transmission lines; Dijkstra algorithm; ground flash density; lightning location system; lightning protection; optimal design; route selection;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2013.2256473
Filename :
6532309
Link To Document :
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