There is ice-shedding process of sudden load on conductor wire in heavy icing area, and the common aluminum alloy ball-eye has hidden danger of strength damage. In this paper, the model of suspension string-conductor wire is established, and the maximum axial force of the ball-eye is analyzed when it is completely ice-shedding in first gear. The finite element model of ball-eye is established and the stress analysis is carried out. The aluminum alloy was nanomodified, and the designed nano-modified aluminum alloy ball-eye was tested by tensile test. The results show that the common aluminum alloy ball-eye has safety risks in heavy icing area, and the nano-modified aluminum alloy ball-eye can meet the safety requirements in the heavy icing area and effectively reduce the damage risk.
KEYWORDS: Carbon fibers, Composites, Finite element methods, Aluminum, Temperature metrology, Power grids, Analytical research, 3D modeling, Cobalt, Modeling
As a new type of augmented capacity conductor, the current standards on sag-temperature characteristic is not applicable to the carbon fiber composite conductor. This paper proposed a method for analyzing the sag-temperature characteristics of stranded carbon fiber composite conductor based on finite element method. A 3D finite element model of the conductor system has been established. Considering the inflection point temperature, the method of calculating the conductor sag at different temperatures was given, and experiments were carried out to verify the results. Finally, the sag-temperature characteristics under different span and conductor type have been analyzed. The simulation results show that the inflection point temperature and the range of sag with temperature increases with the increase of the span. The cross-sectional area of the conductor has an effect on the variation range of the sag but has no effect on the variation rate of the sag with temperature and the inflection point temperature. The research results of this paper have practical engineering significance for the dynamic capacity increase and design of the stranded carbon fiber composite conductor.
Icing of transmission lines has always been a pain point for grid companies. The economic and property losses caused by icing every winter are huge. How to make an effective prediction of transmission line icing is a difficult problem. Existing forecasting methods are often based on micro-meteorological and micro-topographic information. In the characteristic variables of micro-meteorology and micro-topography, there are often interdependencies and potential spatial correlations. However, existing icing prediction methods do not fully exploit the interactions among these characteristic variables. Therefore, this paper proposes a transmission line icing prediction model based on the feature map structure, which reveals the potential agnostic topological relationship between the feature variables by adaptively extracting the sparse adjacency matrix between the feature variables. In addition, while the dilated convolution can improve the receptive field, there is also a loss of information continuity due to the discontinuity of the convolution kernel of the dilated convolution. We propose a temporal capture module to improve the loss of information continuity through GRU and dilated convolution in parallel. End-to-end prediction is achieved by stacking a graph convolution module and a temporal capture module, and after conducting several experimental comparisons, the effective prediction of the proposed model is validated.
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