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Fan arrangement method and device based on annealing simulation and genetic algorithm

A genetic algorithm and fan technology, applied in computer-aided design, calculation, instruments, etc., can solve problems such as subjective judgment errors, achieve the effects of improving rationality, solving local convergence problems, and improving economic benefits

Pending Publication Date: 2020-12-25
GUODIAN UNITED POWER TECH
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Problems solved by technology

The traditional machine layout is done manually, it is difficult to avoid the error of subjective judgment

Method used

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  • Fan arrangement method and device based on annealing simulation and genetic algorithm
  • Fan arrangement method and device based on annealing simulation and genetic algorithm
  • Fan arrangement method and device based on annealing simulation and genetic algorithm

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Embodiment Construction

[0027] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0028] The wind turbine arrangement method based on the genetic algorithm provided by the present invention is characterized in that it searches all the machine positions in the wind farm based on the genetic algorithm, and finally selects the machine position arrangement scheme with the optimal power generation. The present invention firstly divides the wind farm into grids according to the acceptable distance error, and the grid points represent all possible machine position positions. The genetic algorithm is used to select, cross, and mutate the positions of the seats, and the final optimal seat arrangement is obtained after multiple iterations of the genetic alg...

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Abstract

The invention provides a fan arrangement method and device based on annealing simulation and a genetic algorithm. The method comprises the following steps: selecting possible arrangement positions ofa wind turbine generator, taking the possible arrangement positions as chromosomes, taking the power generation capacity of each arrangement position as a right value function of each chromosome, andcalculating a selection probability and a cumulative probability; selecting a new chromosome by using a roulette wheel method to construct a new population; crossover, variation and simulated annealing are conducted on part of chromosomes of the new population; repeating the above operations until a set number of iterations is reached; and taking the arrangement position of the wind turbine generator represented by the final population as the final arrangement position of the wind turbine generator. According to the fan arrangement method and device based on annealing simulation and the genetic algorithm, the problem of local convergence in an original fan arrangement mode can be solved.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a fan arrangement method and device based on annealing simulation and genetic algorithm. Background technique [0002] With the development of the wind power industry, the need to increase revenue and reduce costs is becoming more and more urgent. In the past, most of the wind turbine layout was subjectively judged by humans, and it was difficult to achieve the true optimization of the machine position layout. The intelligent algorithm is introduced into the arrangement of wind turbines to automatically search for the optimal layout of wind turbines, which can make full use of wind farm resources and improve economic benefits. [0003] Intelligent optimization algorithms, especially genetic algorithms, have been widely used in various industries. Especially today when big data is more popular, observation methods have been strengthened in various fields, and the da...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06F30/10G06F111/06G06F113/06
CPCG06F30/27G06F30/10G06F2111/06G06F2113/06
Inventor 董健尹铁男李润祥裘新牟金磊
Owner GUODIAN UNITED POWER TECH
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