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Transmission line mechanical deicing sequence optimizing method based on differential evolution algorithm

A differential evolution algorithm, transmission line technology, applied in overhead lines/cable equipment, genetic laws, genetic models, etc., can solve problems such as long calculation time, difficult convergence, slow convergence speed, etc. Excellent effect

Inactive Publication Date: 2017-10-24
NANJING UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] It can be seen from the above that most of the existing mechanical deicing research does not consider the deicing sequence. The genetic algorithm has the problems of slow convergence speed and long calculation time in solving the deicing sequence, and it is even difficult to converge. get the global optimal solution

Method used

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  • Transmission line mechanical deicing sequence optimizing method based on differential evolution algorithm
  • Transmission line mechanical deicing sequence optimizing method based on differential evolution algorithm
  • Transmission line mechanical deicing sequence optimizing method based on differential evolution algorithm

Examples

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Effect test

Embodiment

[0161] Select the wire LGJ300 / 40, the wire stress is 45.36N / mm 2 , The length of the insulator string is 5.2 meters, the string weight is 2300N, and the thickness of the ice coating is 15mm. The working conditions are set as shown in Table 1:

[0162] Table 1 Working condition settings

[0163]

[0164]

[0165] The differential evolution method is used to solve the mechanical deicing sequence as 2-4-1-3-5-6.

[0166] The deicing sequence obtained by the solution ensures that the unbalanced force ratio is within a safe range and the deicing sequence is the shortest.

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Abstract

The invention discloses a transmission line mechanical deicing sequence optimizing method based on differential evolution algorithm, comprising the following steps: first, generating a population; then establishing a fitness function and formulating a differential evolution algorithm strategy; and finally generating a deicing sequence generation and optimization process. The method of the invention can solve the problem that the de-icing sequence of a currently available mechanical de-icing process is not considered, which causes the pole tower to bear imbalance force exceeding the designed strength of the pole tower and causes the pole tower malfunction. The method strikes a balance between the pole tower safety and the deicing route and ensures that the force exerted on the line and the pole tower does not go beyond the safety threshold and that the deicing route is the smallest when mechanical deicing work is performed according to the optimized deicing sequence.

Description

technical field [0001] The invention belongs to disaster prevention and reduction and security defense of electric power system, in particular to a method for optimizing the order of mechanical deicing of power transmission lines based on differential evolution algorithm. Background technique [0002] Transmission line deicing technology will be an important means of defense against icing disasters on transmission lines. With the development of robotic deicing technology, among the existing deicing methods, the mechanical deicing method is one of the methods with the most potential for large-scale application. However, mechanical deicing is carried out in different gear intervals. If the deicing strategy is not considered, it may cause negative effects during the deicing process. During the de-icing process, even if the transmission line is not seriously iced, the unbalanced force on both sides of the tower may cause the tower to be stressed beyond its limit. [0003] In 2...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02G1/02G06N3/12
CPCG06N3/126H02G1/02
Inventor 黄琳雁陈晞谢云云吕友杰蔡胜宋雯雯李凯嵘陈佳欣卜京殷明慧姚娟邹云蔡晨晓张俊芳
Owner NANJING UNIV OF SCI & TECH
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