High voltage insulator numerical optimization method based on small population real-coded genetic algorithm

A high-voltage insulator and genetic algorithm technology, applied in the field of numerical optimization of high-voltage insulators, can solve problems such as difficult to optimize, reduce insulator insulation performance, affect insulator electric field distribution, etc., achieve reasonable structure, small population size, and save optimization time.

Inactive Publication Date: 2018-11-23
国网浙江台州市椒江区供电有限公司 +2
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Problems solved by technology

[0003] In the calculation of the electric field of insulators, it is generally necessary to consider the influence of towers and wires. Due to the complexity of the overall structure, it is difficult to optimize with traditional methods
Factors such as the structural parameters and installation position of the grading

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  • High voltage insulator numerical optimization method based on small population real-coded genetic algorithm
  • High voltage insulator numerical optimization method based on small population real-coded genetic algorithm
  • High voltage insulator numerical optimization method based on small population real-coded genetic algorithm

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Embodiment Construction

[0039] In order to make the structure and advantages of the present invention clearer, the structure of the present invention will be further described below in conjunction with the accompanying drawings.

[0040] The invention provides a numerical optimization method for high-voltage insulators based on a small population real number genetic algorithm, such as figure 1 shown, including:

[0041] 11. Niche genetic algorithm based on shared function to adjust the fitness of each individual in the group;

[0042] 12. Based on the obtained fitness value, the reverse selection operator is used to solve the problem of the minimum value;

[0043] 13. Use the Euclidean distance between individuals to guide the cross-matching and obtain the parent selection operator;

[0044] 14. Based on the obtained parent selection operator, the crossover algorithm containing the amplification factor is modified to obtain a new crossover algorithm;

[0045] 15. Modify the mutation operator in th...

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Abstract

The invention discloses a high voltage insulator numerical optimization method based on a small population real-coded genetic algorithm and belongs to the field of optimization technology. The methodcomprises the following steps: based on a niche genetic algorithm of a sharing function, adjusting the fitness of each individual in a population; based on numerical values of the obtained fitness, solving a minimum value problem by adopting a reverse selection operator; guiding cross pairing by adopting Euclidean distances among the individuals, and obtaining a parent population selection operator; based on the obtained parent population selection operator, modifying a cross algorithm containing an amplification factor, thus a novel cross algorithm is obtained; and modifying a mutation operator in a real genetic algorithm, thus a modified mutation algorithm is obtained. A genetic algorithm is combined with a finite element method, a basic genetic algorithm is improved, an improved geneticalgorithm maintaining population diversity is provided, and electric field distribution of an insulator is beneficially and effectively improved, so that the structure of the insulator and the structure of a grading ring are more reasonable; and scale of the required population is small, so that optimization time is shortened.

Description

technical field [0001] The invention belongs to the field of power systems, in particular to a numerical optimization method for high-voltage insulators based on a small population real number genetic algorithm. Background technique [0002] Insulators are widely used electrical products in UHV transmission lines and substations. Their insulation performance will directly affect the safe operation of the entire line and substations, and are an important aspect of equipment safety. Compared with disc insulators such as porcelain and glass, composite insulators have many advantages such as light weight, high strength, strong pollution flashover resistance, no need for cleaning, and easy installation, operation and maintenance. However, due to the capacitance between the metal part of the insulator and the grounding tower or live wire, the voltage distribution along the insulator string is uneven. In addition, because composite insulators do not have intermediate metal compone...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/00G06N3/12
CPCG06F30/20G06N3/006G06N3/126Y02E40/70Y04S10/50
Inventor 邹宏亮柳骏刘宝荣李一雯林俊蒋行辉何瑾叶菁董文硕张叶
Owner 国网浙江台州市椒江区供电有限公司
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