Prediction of Rime Accretion on Transmission Line Based on Optimal Time Step Model
Jiang Xingliang1, Jiang Fangyi1, Wang Quanlin1, Luo Bing2, Han Xingbo1
1. State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing 400044 China; 2. Power Grid Technology Research Center of China Southern Power Grid Guangzhou 510080 China
Abstract：Transmission line icing is one of the major natural disasters affecting the safe and stable operation of power system. It has great significance to study the influence of atmospheric environmental parameters on the conductor icing process and accurately predict the ice quality and shape. In this paper, the time step of ice prediction that directly affects the time cost and accuracy of prediction was considered, and the optimal time step model of icing prediction was established. For the rime accretion problem, the real environmental parameters were re-determined in each step of prediction. The finite volume method (FVM) was used to solve the k-ε turbulence model based on the RNG method to obtain the airflow field. Lagrange method was utilized for calculating the trajectory of droplets based on the airflow field obtained, and then the quality and ice shape of rime were predicted through the post-processing. The influence of each factor (airflow velocity, air temperature, liquid water content, median droplet volume diameter and diameter of conductor) on the rime accretion on conductor was studied and summarized. In order to validate the rime accretion prediction model proposed, the natural icing experiment was carried out at the Natural Icing Test Station of Chongqing University at Xuefeng Mountain. The ice quality and ice shape of the experiment were consistent with the prediction results, which proved that the prediction model was accurate and effective.
蒋兴良, 姜方义, 汪泉霖, 罗兵, 韩兴波. 基于最优时间步长模型的输电导线雾凇覆冰预测[J]. 电工技术学报, 2018, 33(18): 4408-4418.
Jiang Xingliang, Jiang Fangyi, Wang Quanlin, Luo Bing, Han Xingbo. Prediction of Rime Accretion on Transmission Line Based on Optimal Time Step Model. Transactions of China Electrotechnical Society, 2018, 33(18): 4408-4418.
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2018, Vol. 33 
