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

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...

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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.

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