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Abstract. With the purpose of predicting icing of transmission lines, a model updating approach is presented in this study. The changes of structural dynamic response of transmission lines that is caused by icing is studied firstly by using finite element method. Then, model updating method and particle swarm optimization is implemented to indentify the thickness of icing according to the alternation of natural frequencies. The results show that the proposed methodology is meaningful to monitor line icing. IntroductionIcing of transmission lines would cause line galloping, insulator flashover and even tower collapse which is a great threat for the operation of power grid [1-2]. Thus, effective monitoring and condition assessment of line icing is the key issue which needs to be solved, and the establishment of icing forecast plays an important role in the operation of power grid.It's very difficult to evaluate the condition of lines manually considering that transmission lines are located sparsely. Hence, the on-line monitoring technique has attracted increasing attentions in engineering application. The current monitoring strategy are mainly based on measuring the weight, angle of insulator, wind speed, temperature and humidity. The equivalent thickness of line icing can be estimated according to measured data [3][4][5], based on that, related staff will be alerted as long as the thickness evaluated beyond a predefined value. However, the actual icing condition is usually distributed non-uniformly along the length of line, thus, the monitoring technique based on the evaluation of equivalent thickness is unable to get more information of icing distribution in details. In this work, a methodology for icing forecasting based on model updating method is presented. The modal frequencies are introduced to identify the icing condition of transmission lines with the help of artificial intelligence technique, and the results show that the proposed approach is able to identify and predict the distribution of icing.

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Invasive and noninvasive are two common harmonic impedance estimation methods. Intrusive methods may affect the stable operation of the system. A harmonic impedance estimation method based on Kalman filter algorithm is proposed in this paper. The method adjusts the time interval of impedance estimation by selecting the frequency of sample. When the frequency of sample is high enough, it can be considered as real-time estimation of harmonic impedance.

In order to study the effect of flexural stiffness on the mechanical properties of single conductor under wind load, a configuration function of the conductor considering stiffness is established in this paper. Based on the configuration function, the finite element model is established, and the effects of suspension point angle, span on the mechanical properties of down lead conductor under wind load are studied. The results show that, compared with the catenary model, the model in this paper is more consistent with the experimental fitting formula. The angle of the suspension point has obvious influence on the tension of down lead conductor. With the increase of the angle of the suspension point from 0°to 80°, the tension decreases by nearly one third. The bending moment is affected by the alignment, and the reverse sign appears with the increase of suspension point angle. When the redundancy rate is the same, the span increases from 2 m to 4 m, and the tension of the conductor decreases by 18%.