Wind power plant site selection method and device based on genetic algorithm

Abstract

The invention discloses a wind power plant site selection method and device based on a genetic algorithm, and the method comprises the steps: S1, building a flow field model of a wind power plant region, and obtaining the whole space flow field distribution of a wind power plant; s2, generating construction parameters of the wind turbine generators, wherein the construction parameters of each windturbine generator form a chromosome; s3, calculating the fitness of the chromosomes, and calculating the global optimality of the wind power plant according to the fitness of each chromosome; and S4,judging whether a preset convergence condition is met or not, if so, outputting construction parameters of the chromosomes as a site selection scheme of the wind power plant, otherwise, taking the chromosomes as a parent chromosome group, generating filial chromosomes, and skipping to the step S3. The method and device have the advantages that the wind power plant area can be comprehensively searched, the precision of the wind turbine generator site selection position and the matching program of the position and the type and hub height of the wind turbine generator are improved, deep optimization is achieved, the wind power plant site selection optimization efficiency can be effectively improved, practicability is good, and expansibility is high.

Description

technical field [0001] The invention relates to the technical field of wind farm site selection, in particular to a method and device for wind farm site selection based on a genetic algorithm, and is particularly suitable for microscopic site selection optimization of wind farms. Background technique [0002] Wind energy is a non-polluting, renewable new energy. In a modern society where energy is scarce and traditional energy pollutes the environment seriously, the wind power industry has become one of the vigorously developed new energy industries. The micro-site selection of wind farms is a necessary step in the rational planning of the wind power industry. The main task is to calculate the distribution of wind resources in the entire wind farm according to the specific topography and landform conditions of the wind farm and the measured wind resources, and to select wind turbines based on various constraints. And the location design work. Excellent micro-site selection ...

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Problems solved by technology

However, none of the above processes takes the comprehensive evaluation of wind farm input and output as the optimization goal, nor can it realize the comprehensive optimization of multi-dimensional collaborative consideration of machine position coordinates, machine models (single machine capacity, impeller diameter), and hub height, and a large amount of manual analysis is required. , Insufficient optimization depth and other issues

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