Optimal Placement of Wind Turbines in Wind Farm Layout Using Particle Swarm Optimization

被引:1
|
作者
Philip Asaah [1 ]
Lili Hao [1 ]
Jing Ji [1 ]
机构
[1] the College of Electrical Engineering and Control Science,Nanjing Tech University
关键词
D O I
暂无
中图分类号
TM614 [风能发电]; TP18 [人工智能理论];
学科分类号
0807 ; 081104 ; 0812 ; 0835 ; 1405 ;
摘要
An optimal geographical location of wind turbines can ensure the optimum total energy output of a wind farm.This study introduces a new solution to the optimization of wind farm layout(WFLO) problem based on a three-step strategy and particle swarm optimization as the main method. The proposed strategy is applied to a certain WFLO to generate highly efficient optimal output power. Three case scenarios are considered to formulate the non-wake and wake effects at various levels. The required wind turbine positions within the wind farm are determined by the particle swarm optimization method. The rule of thumb, which determines the wind turbine spacing, is thoroughly considered. The MATLAB simulation results verify the proposed three-step strategy. Moreover, the results are compared with those of existing research works, and it shows that the proposed optimization strategy yields a better solution in terms of total output power generation and efficiency with a minimized objective function. The efficiencies of the three case studies considered herein increase by 0.65%, 1.95%,and 1.74%,respectively. Finally, the simulation results indicate that the proposed method is robust in WFLO design because it further minimizes the objective function.
引用
收藏
页码:367 / 375
页数:9
相关论文
共 50 条
  • [31] New approach on optimization in placement of wind turbines within wind farm by genetic algorithms
    Emami, Alireza
    Noghreh, Pirooz
    [J]. RENEWABLE ENERGY, 2010, 35 (07) : 1559 - 1564
  • [32] The Effect of Acceleration Coefficients in Particle Swarm Optimization Algorithm with Application to Wind Farm Layout Design
    Rehman, Shafiqur
    Khan, Salman A.
    Alhems, Luai M.
    [J]. FME TRANSACTIONS, 2020, 48 (04): : 922 - 930
  • [33] The Significance of Wind Turbines Layout Optimization on the Predicted Farm Energy Yield
    Al-Addous, Mohammad
    Jaradat, Mustafa
    Albatayneh, Aiman
    Wellmann, Johannes
    Al Hmidan, Sahil
    [J]. ATMOSPHERE, 2020, 11 (01)
  • [34] Reducing wind farm power variance from wind direction using wind farm layout optimization
    Gagakuma, Bertelsen
    Stanley, Andrew P. J.
    Ning, Andrew
    [J]. WIND ENGINEERING, 2021, 45 (06) : 1517 - 1530
  • [35] Optimal design of wind farm layout using a biogeographical based optimization algorithm
    Pouraltafi-Kheljan, Soheil
    Azimi, Amirreza
    Mohammadi-ivatloo, Behnam
    Rasouli, Mohammad
    [J]. JOURNAL OF CLEANER PRODUCTION, 2018, 201 : 1111 - 1124
  • [36] Joint optimization of wind farm layout considering optimal control
    Chen, Kaixuan
    Lin, Jin
    Qiu, Yiwei
    Liu, Feng
    Song, Yonghua
    [J]. RENEWABLE ENERGY, 2022, 182 : 787 - 796
  • [37] Optimal Placement of Wind Turbines Using Novel Binary Invasive Weed Optimization
    Beskirli, Mehmet
    Koc, Ismail
    Kodaz, Halife
    [J]. TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2019, 26 (01): : 56 - 63
  • [38] Determining layout of a wind farm with optimal number of turbines: A decomposition based approach
    Mittal, Prateek
    Mitra, Kishalay
    [J]. JOURNAL OF CLEANER PRODUCTION, 2018, 202 : 342 - 359
  • [39] Wind farm layout optimization with uncertain wind condition
    Wen, Yi
    Song, Mengxuan
    Wang, Jun
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2022, 256
  • [40] The Application of Water Cycle Optimization Algorithm for Optimal Placement of Wind Turbines in Wind Farms
    Rezk, Hegazy
    Fathy, Ahmed
    Diab, Ahmed A. Zaki
    Al-Dhaifallah, Mujahed
    [J]. ENERGIES, 2019, 12 (22)