The Fault Environment Feature Recognition Method for Dancing of Overhead Transmission Lines based on Dynamic Models

In this paper, for the problem of inaccurate identification of dangerous characteristics of transmission line galloping, a joint algorithm of rough set and ant colony is proposed, and the identification of damping, frequency and other indexes by the algorithm is analyzed. At the same time, set the threshold, weight and other constraints to avoid the problem of local extremum in the calculation. The proposed algorithm in judging the galloping frequency, vibration mode and damping ratio is $\mathbf{9 5. 8 \%}, \mathbf{9 3. 3} \%$ and $\mathbf{9 6. 1 \%}$ respectively, and the calculation time is $\mathbf{1 0. 5} \mathbf{s}, \mathbf{1 2. 7 s}$ and 11.2 s respectively, indicating that the hazard feature recognition method is acceptable. The simulation results show that the hazard feature recognition model constructed in this paper can realize multi-channel modal analysis, and the analysis results are better than a single ant colony algorithm, and the calculation accuracy is higher. Therefore, in the multi-channel modal state, rough set combined with ant colony algorithm can solve the problem of dangerous feature identification of transmission line galloping.