arrow
返回

Wind farm layout optimization for wake effect uniformity

delete2019-09-01
delete76
PRE
AI
K
Kyoungboo Yang *
K
Kyung Ho Cho
DOI:10.1016/j.energy.2019.07.019delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
The basic objective of wind farm layout optimization is to maximize the energy produced by wind farms. However, when wind turbines are arranged in a limited space like an onshore wind farm, specific wind turbines may have greater wake exposure than other wind turbines. This phenomenon can be conspicuous in a mixed layout that consists of turbines with different capacities and hub heights. In this study, we developed and tested a new objective function to increase wind farm energy output while making the wake loss of each wind turbine uniform. The purpose of this function is to adjust the wake effects of all of the wind turbines on a wind farm to similar levels, thereby promoting the operational stability of all of the wind turbines. Layout optimization was performed using a simulated annealing algorithm, which is a heuristic method, with actual wind conditions for an existing wind farm in operation. Then, the results obtained using the proposed method were compared with those yielded by layout optimization for energy maximization. The layout generated using the proposed objective function had lower energy output than that obtained by energy maximization. However, this difference was small and the proposed method prevented wake effect concentration on specific turbines by making the wake effect levels uniform. (C) 2019 Elsevier Ltd. All rights reserved.
Keyword:
Wind energy
Wind farm layout optimization
Simulated annealing algorithm
Energy maximization
Wake effect uniformity
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Energy 封面图
Energy
IF:
9.4
论文数:
4.3W
被引数:
20.2W

机构

J
Jeju National University
学者数:
4.5K
论文数: 4.5K
被引数: 4.6K
引用论文

引用论文

Toward efficient optimization of wind farm layouts: Utilizing exact gradient information
err2016-10-01
err77
PREAI
errGuirguis, David; Romero, David A.; Amon, Cristina H.
err分享
err收藏
err分享
err收藏
err分享
err收藏
A computationally-efficient layout optimization method for real wind farms considering altitude variations
errENERGY
IF9.4
err2017-08-01
err27
PREAI
errWang, Longyan; Cholette, Michael E.; Tan, Andy C. C.; Gu, Yuantong
err分享
err收藏
err分享
err收藏
学者 查看更多内容