Multi-target arrangement optimization method and system for wind power plant positions

Abstract

The invention relates to the technical field of wind power plant micro-siting, particularly provides a multi-target arrangement optimization method and system for wind power plant positions, and aims to solve the problems that in the existing wind power plant arrangement optimization process, the optimization target is single, and the influence of conditions such as wind conditions on the optimization process is not fully considered. In order to achieve the purpose, a genetic algorithm is applied, the target value of a first optimization target is controlled to be minimum, the target value of a second optimization target is controlled to be maximum, multi-target optimization is carried out on the arrangement scheme of the wind turbine generators in the wind power plant, a Pareto leading solution of multi-target optimization is obtained, and the arrangement optimization scheme of the wind power plant is determined. Through the configuration mode, in the optimization process of the arrangement scheme of the wind power plant, the total output power of the wind power plant and the front flow turbulence degree of the wind turbine generator are comprehensively considered, on the premise that the total output power of the wind power plant is ensured, the front flow turbulence degree of the wind turbine generator is reduced, and the service life of the wind power plant is prolonged; and the generating capacity of the whole life cycle is improved.

Description

technical field [0001] The invention relates to the technical field of wind farm micro-site selection, and specifically provides a multi-objective arrangement optimization method and system for wind farm aircraft positions. Background technique [0002] Wind energy is a non-polluting, renewable and clean energy. In order to increase the utilization of wind energy resources, the construction of onshore and offshore wind farms tends to be large-scale and base-based, but at the same time, the wake effect of wind farms is becoming more and more serious. serious. In recent years, research on the optimization of wind farm layout has gradually increased. In the research on the micro-site selection of wind farms, most of them focus on selecting high-precision wake models or improving the search accuracy and calculation efficiency of optimization algorithms to obtain the maximum output power arrangement scheme. The main defect of these studies is that the optimization objective is ...

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Problems solved by technology

[0004] In order to overcome the above-mentioned defects, the present invention is proposed to solve or at least partly solve the existing wind farm layout optimization process, which fails to comprehensively consider the influence of wind conditions, flow direction turbulence and other conditions on the optimization process and the single optimization target. question

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