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| Research on Fusion Algorithm of Lightning Strike Trip Warning for Mountain Transmission Lines |
| Yuan Tao1, Wang Xiaotian1,2, Sima Wenxia1, Sun Potao1, Zhou Fangrong3 |
1. School of Electrical Engineering Chongqing University Chongqing 400044 China;
2. State Grid Tianjin Electric Power Company Binhai Branch Tianjin 300450 China;
3. Electric Power Research Institute Yunnan Power Grid Co. Ltd Kunming 650217 China |
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Abstract Relevant statistics show that lightning strikes are the main reason for the tripping of transmission lines, and the damage is relatively large. Research on lightning trip early warning of the transmission lines can help the power grid operation and maintenance departments to take targeted preventive measures in advance to ensure the safe and stable operation of the power grid. However, the existing line lightning trip early warning technology fails to fully consider the characteristics of regional lightning activities and the physical process of lightning stroke lines, which has the problems of low early warning accuracy and high false alarm rate. Therefore, this paper proposes a transmission line lightning trip early warning algorithm that combines the Monte-Carlo method and the lightning leader fractal model to solve the above problems.
The algorithm fully considers the characteristics of lightning activity, the physical process of lightning strike lines and the micro-topography conditions of line corridors. On the one hand, according to the monitoring data of regional lightning activity, the variation law of ground flash frequency with altitude and the cumulative probability distribution function of lightning current amplitude are fitted, and the target distribution samples required by Monte-Carlo method are constructed, so as to simulate the distribution of lightning current amplitude and lightning location in a certain area. On the other hand, the fractal model of lightning leader is used to simulate the physical process of the unification of the randomness and certainty of the development path of lightning leader, which fully considers the influence of micro terrain conditions on the physical process of lightning lines. At the same time, based on the algorithm, the lightning trip-out probability database of transmission lines is constructed, and the lightning trip-out warning system is formed. The specific algorithm flow is as follows: Monte-Carlo method and lightning leader fractal model are combined to simulate and calculate the lightning trip probability of transmission lines with different voltage levels (110 kV, 220 kV, 500 kV) under different lightning current amplitudes and different micro-topography conditions, forming a lightning trip probability database. The input condition is determined by the lightning current amplitude randomly generated by the lightning activity short-term warning system data. According to the input condition and the lightning trip probability database, the lightning trip probability of each lightning is determined. Calculate the lightning trip probability of the line in the next 2 hours in the early warning area, and judge whether to issue a lightning trip warning according to the set lightning trip probability threshold.
Finally, the lightning trip early warning system was applied to Yunnan power grid for example verification and early warning performance evaluation. The demonstration application in Yunnan power grid showed that the early warning accuracy rate was 87%, the missed alarm rate was 12%, and the false alarm rate was 7%. The false alarm rate was significantly reduced, which has a good early warning effect and can help relevant power grid departments to make targeted preventive measures in advance, reduce the risk and loss of lightning trip.
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Received: 29 December 2021
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2023, Vol. 38 
