Wind farm layout optimization in complex terrain: A preliminary study on a Gaussian hill

The Science of Making Torque from Wind 2014

Feng, J.^1 ; Shen, W.Z.^1

Department of Wind Energy, Technical University of Denmark, DK-2800 Lyngby, Denmark^1

关键词: Adaptive mechanism;    Computational fluid dynamics simulations;    Inflow conditions;    Layout optimization;    Multiple-objectives;    Random search algorithm;    Single objective;    Wind farm layout optimizations;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/524/1/012146/pdf
DOI  :  10.1088/1742-6596/524/1/012146

来源: IOP

【 摘 要 】

One of the crucial problems for wind farm (WF) development is wind farm layout optimization. It seeks to find the optimal positions of wind turbines (WTs) inside a WF, so as to maximize and/or minimize a single objective or multiple objectives, while satisfying certain constraints. Although this problem for WFs in flat terrain or offshore has been investigated in many studies, it is still a challenging problem for WFs in complex terrain. In this preliminary study, the wind flow conditions of complex terrain without WTs are first obtained from computational fluid dynamics (CFD) simulation, then an adapted Jensen wake model is developed by considering the terrain features and taking the inflow conditions as input. Using this combined method, the wake effects of WF in complex terrain are properly modelled. Besides, a random search (RS) algorithm proposed in previous study is improved by adding some adaptive mechanisms and applied to solve the layout optimization problem of a WF on a Gaussian shape hill. The layout of the WF with a certain number of WTs is optimized to maximize the total power output, which obtained steady improvements over expert guess layouts.