Wind farm layout optimization based on grid-coordinate genetic algorithm

被引：0

作者：

Jiang Q. ^{[1
]}

Zheng H. ^{[1
]}

Yang Q. ^{[2
]}

Zhou X. ^{[2
]}

Huang G. ^{[2
]}

Lin Y. ^{[3
]}

机构：

[1] Department of Statistics, School of Mathematics, Southwest Jiaotong University, Chengdu

[2] School of Civil Engineering, Chongqing University, Chongqing

[3] Shanghai Investigation, Design & Research Institute Co., Ltd., Shanghai

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2022年 / 43卷 / 08期

关键词：

Coordinate; Genetic algorithm; Grid; Irregular area; Optimization; Wind farm;

D O I：

10.19912/j.0254-0096.tynxb.2020-1302

中图分类号：

学科分类号：

摘要：

In this paper, Jensen's wake model is adopted to describe the interference effect of the wake among wind turbines. The number of wind turbines and the initial position of the layout are obtained based on the improved grid genetic algorithm, then the coordinated genetic algorithm is used to further optimize the position of the wind turbines, thereby increasing the power generation per unit cost. With the proposed method, three different wind scenarios (single wind direction, multiple wind directions with constant intensity and multiple wind directions with various intensities) are considered and the turbine layout optimization was carried out for the standard 2 km×2 km wind farm and the irregular wind farm. Comparative analysis shows that the proposed method can effectively increase power generation. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.

引用

页码：266 / 272

页数：6

共 19 条

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