Optimization of deicing sequence of transmission line based on genetic algorithm

The robot de-icing technology as the representative of modern mechanical de-icing technology is an important means of transmission lines dealing with icing disasters. Without considering the de-icing order, the mutations of the unbalanced force on both sides of towers are likely to cause negative effects in the de-icing process. Search for optimal sequence of de-icing is the key to solve the negative effects of de-icing. This paper uses genetic algorithms to optimize the sequence of de-icing, proposed suitable genetic coding method and fitness function and established a transmission line de-icing sequence optimization model. Practical examples calculation showed that the mechanical transmission lines deicing sequence optimization method based on genetic algorithm is able to find more optimal sequences of de-icing that can greatly reduce the tower unbalanced force so as to guarantee the safety in mechanical deicing.