Comparative study on optimizing the wind farm layout using different design methods and cost models

被引:32
|
作者
Wang, Longyan [1 ]
Tan, Andy C. C. [1 ]
Gu, Yuantong [1 ]
机构
[1] Queensland Univ Technol, Sch Chem Phys & Mech Engn, Brisbane, Qld 4001, Australia
关键词
Layout optimization; Comparative study; Grid density; Grid based method; Unrestricted coordinate method; Mosetti's cost model; Chen's cost model; PARTICLE SWARM OPTIMIZATION; TURBINES; PLACEMENT;
D O I
10.1016/j.jweia.2015.07.009
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Optimizing wind farm layout is an effective tool to decrease wind power losses caused by the wake interaction between wind turbines. Current researches focus on advancing the optimization algorithms and improving the wind farm models based on two design methods (the grid based method and the unrestricted coordinate method). However, it has been rarely reported for the comparative studies of these two methods. Meanwhile, the topic of how to select a better wind farm cost model for the layout optimization has not been studied in literatures, while it is extremely important to the real wind farm design since the real wind farm cost can be highly uncertain which cannot be represented by a fixed model for different wind farms. Therefore, the wind farm layout optimization using the two design methods is conducted in this paper. Three different grid situations are considered so that the best optimization results with the grid based method can be obtained to compare with the unrestricted coordinate method more convincingly. Two widely acceptable cost models (Mosetti's model and Chen's model) are employed to unveil their influence on the optimization results. It has been found that (i) 20 x 20 grids should be preferred for the grid based method instead of the previously widely applied 10 x 10 grids; (ii) compared to using the grid based method, there is a small improvement for the optimization result using the unrestricted coordinate method. Nevertheless, more computation cost is needed for the method when a large number of turbines are optimized and (iii) there is a big discrepancy between the optimization with different cost models. Mosetti's cost model is more accurate than Chen's cost model when the optimized number of turbines is large and vise versa. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 10
页数:10
相关论文
共 50 条
  • [1] Offshore wind farm layout optimization using ensemble methods
    Eikrem, Kjersti Solberg
    Lorentzen, Rolf Johan
    Faria, Ricardo
    Stordal, Andreas Storksen
    Godard, Alexandre
    RENEWABLE ENERGY, 2023, 216
  • [2] Wind Farm Layout Design Using Cuckoo Search Algorithms
    Rehman, S.
    Ali, S. S.
    Khan, S. A.
    APPLIED ARTIFICIAL INTELLIGENCE, 2016, 30 (10) : 899 - 922
  • [3] Design of wind farm layout using ant colony algorithm
    Eroglu, Yunus
    Seckiner, Serap Ulusam
    RENEWABLE ENERGY, 2012, 44 : 53 - 62
  • [4] Wind Farm Layout Design using Cuckoo Search Algorithm
    Rehman, Shafiqur
    Ali, Syed S.
    Adil, Syed H.
    PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON SMART CITIES AND GREEN ICT SYSTEMS (SMARTGREENS 2016), 2016, : 257 - 262
  • [5] A review of offshore wind farm layout optimization and electrical system design methods
    Hou, Peng
    Zhu, Jiangsheng
    Ma, Kuichao
    Yang, Guangya
    Hu, Weihao
    Chen, Zhe
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2019, 7 (05) : 975 - 986
  • [6] Comparative Study of Wind Turbine Placement Methods for Flat Wind Farm Layout Optimization with Irregular Boundary
    Wang, Longyan
    APPLIED SCIENCES-BASEL, 2019, 9 (04):
  • [7] Realistic wind farm design layout optimization with different wind turbines types
    Charhouni, Naima
    Sallaou, Mohammed
    Mansouri, Khalifa
    INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, 2019, 10 (03) : 307 - 318
  • [8] Optimizing wind energy conversion efficiency with respect to noise: A study on multi-criteria wind farm layout design
    Cao, Jiu Fa
    Zhu, Wei Jun
    Shen, Wen Zhong
    Sorensen, Jens Noorkaer
    Sun, Zhen Ye
    RENEWABLE ENERGY, 2020, 159 : 468 - 485
  • [9] Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout
    Wang, Yong
    Liu, Hao
    Long, Huan
    Zhang, Zijun
    Yang, Shengxiang
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (03) : 1040 - 1054
  • [10] EFFECTS OF UNCERTAIN LAND AVAILABILITY, WIND SHEAR, AND COST ON WIND FARM LAYOUT
    Chen, Le
    MacDonald, Erin
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2013, VOL 3A, 2014,