A genetic algorithm-based method for optimizing the arrangement of wind turbines in wind farms that can guarantee a safe distance

A technology of wind power generators and safety distance, which is applied in computing, data processing applications, forecasting, etc., and can solve problems such as low quality of optimization results and narrowing of search domains

Active Publication Date: 2021-04-27
ZHEJIANG UNIV
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Problems solved by technology

The patent "An Optimal Arrangement Scheme for Wind Farm Fans Based on Genetic Algorithm" (Application Publication No.: CN 103793566 A) proposes the use of genetic algorithms to solve the problem of wind turbine arrangement, but the search method in the wind farm area is also It is a grid that is artificially divided into multiples of the diameter of the fan
In these related documents and patents, the method of dividing the safety distance grid is used to ensure the safety distance between the wind turbines. The search domain is artificially narrowed, and the quality of the optimization results obtained is not high.

Method used

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  • A genetic algorithm-based method for optimizing the arrangement of wind turbines in wind farms that can guarantee a safe distance
  • A genetic algorithm-based method for optimizing the arrangement of wind turbines in wind farms that can guarantee a safe distance
  • A genetic algorithm-based method for optimizing the arrangement of wind turbines in wind farms that can guarantee a safe distance

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Embodiment

[0031] In this embodiment, the wind turbine arrangement and type selection optimization is performed on a certain wind farm before the generator is built. A wind turbine with a rated power of 1.5MW and a diameter of the fan blade surface of 80m is installed in the square wind farm area with a side length of 2 kilometers. The number of installed fans is 7. Now assume that the wind farm area is [0,2000] (m) in abscissa and [0,2000] (m) in ordinate, and the feasible region of the genetic algorithm is a two-dimensional plane within this range. In this implementation example, the wind farm is built in In the plain, the rough length is 0.3 meters, regardless of the influence of complex terrain. The optimization goal is to keep the wind turbine safety distance of 5D at the lowest kWh cost of the whole wind farm. The whole process flow is as follows figure 1 shown. The implementation steps are as follows:

[0032] 1) According to the topographic and meteorological characteristics o...

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Abstract

The invention discloses a genetic algorithm-based method for optimizing the arrangement of wind power generators in a wind farm that can ensure a safe distance. Select the type of wind turbine; take the wind farm area as the search domain, and randomly generate the initial position matrix of the wind turbine in the search domain as the initial solution of the algorithm. Each row of the matrix represents a wind turbine position arrangement scheme, and the number of rows in the matrix Represents the number of individuals in the population of each generation of the genetic algorithm, and binary codes the matrix; calculates the fitness of each individual in the current generation, and the fitness function is set to maintain a safe distance between fans and the lowest cost of electricity; according to the fitness of each individual degree value, to find the contemporary optimal value, combined with the historical optimal value records, to find the global optimal value and its corresponding individual; the method of the present invention does not need to divide the wind farm into square grids and select them, and can use wind power more effectively The land resources and wind resources within the field range, the location scheme is more accurate and more practical.

Description

technical field [0001] The invention relates to a method for optimizing the arrangement of wind power generators in a wind farm, in particular to a genetic algorithm-based method for optimizing the arrangement of wind power generators in a wind farm that can ensure a safe distance between fans. Background technique [0002] The energy crisis has become one of the main problems in modern society, the environmental pollution caused by traditional fossil energy is becoming more and more serious, and the field of new energy utilization needs to be developed urgently. Wind energy is a pollution-free green renewable energy. Therefore, in recent years, China has vigorously developed the wind energy industry and built wind farms in an effort to increase the utilization of wind energy. Wind farm site selection is one of the important steps in the rational planning of the wind power industry, which is divided into macro site selection and micro site selection. Macro-site selection is...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 唐晓宇杨秦敏陈积明孙优贤
Owner ZHEJIANG UNIV
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