Mechanical De-icing Sequence Optimization Considering Transmission Line Security

doi:10.11930/j.issn.1004-9649.201610143

Abstract

Abstract: The mechanical de-icing technique is an important method for coping with icing disasters of transmission lines. Current research mainly focuses on the improvement of the deicing method while few researches are conducted on the effect of mechanical de-icing process. It is found that the unbalance force in transmission tower may exceed the design criteria in the process of deicing conducted according to the sequence from one end to the other, which affects the security of transmission lines. At the same time, the maximum unbalance force in transmission tower varies with different mechanical de-icing sequences. Therefore, it's necessary to optimize the mechanical de-icing sequence to increase the security of mechanical de-icing. Firstly, the impact of de-icing sequence on the unbalance force in transmission tower is analyzed. And then, a sequence optimization model of mechanical de-icing is constructed in this paper. Given the nonlinearity and multiple constraints of the model, the genetic algorithm is used to optimize the de-icing sequence of conductors with different spans. Simulation results show that the optimized mechanical de-icing sequence can effectively lower the unbalance force and improve the security of power lines in the process of mechanical de-icing.

Key words: transmission line, icing disaster, mechanical de-icing, genetic algorithm, sequence optimization

CLC Number:

TM752

CHENG Song, YU Chen, WU Chen, HUANG Linyan, CHU Yunlong, CUI Wei. Mechanical De-icing Sequence Optimization Considering Transmission Line Security[J]. Electric Power, 2018, 51(1): 71-77.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201610143

https://www.electricpower.com.cn/EN/Y2018/V51/I1/71

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