Review on optimisation methods of wind farm array under three classical wind condition problems

被引:48
作者
Azlan, F. [1 ]
Kurnia, J. C. [2 ]
Tan, B. T. [1 ]
Ismadi, M. -Z. [1 ]
机构
[1] Monash Univ Malaysia, Sch Engn, Bandar Sunway 47500, Selangor, Malaysia
[2] Univ Teknol PETRONAS, Mech Engn Dept, Bandar Seri Iskandar 32610, Perak, Malaysia
关键词
Wind farm; Layout design optimisation; Wake model; Wind turbine micro-siting; MATHEMATICAL-PROGRAMMING APPROACH; PARTICLE SWARM OPTIMIZATION; TURBINE LAYOUT OPTIMIZATION; SOUND PRESSURE LEVEL; GENETIC ALGORITHM; OPTIMAL PLACEMENT; POWER PRODUCTION; WAKE MODEL; DESIGN; ENERGY;
D O I
10.1016/j.rser.2020.110047
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The arrangement of wind turbines in clusters presents two noteworthy issues: (1) diminished power generation brought about by wake wind speed deficits and (2) expanded unique loads on the blades caused by higher turbulence levels. The drop in power generation of downstream wind turbines can reach up to 46% of the up-stream wind turbines in entirely created wake conditions. Thus, wind farm layout optimisation is an essential design criterion of a wind farm. Focusing on optimising the micro-position of the turbines within the wind farm to minimise the wake effects can maximise the expected power output. There are several crucial aspects in designing a wind farm layout, and most of the previous studies have been focusing on maximising the overall energy yield and minimise the initial investment. Several optimisation methods based on heuristic techniques have successfully found optimal solution to these challenges. However, far too little attention has been paid on comparing these methodologies to each other. Therefore, this work aims to survey the existing approaches used to-date in solving the wind turbine positioning within the wind farm. This work firstly briefs the historical background of the conventional development of a wind farm. Then, key features and basic components of a wind farm modelling are discussed and categorised into the following: wind farm siting, layout design, wake models and objective functions. Several research gaps and suggestion of future research areas in this field are highlighted which shall enable to guide researchers to explore further in the upcoming studies.
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页数:17
相关论文
共 164 条
  • [51] Gradient-based multidisciplinary design of wind farms with continuous-variable formulations
    Guirguis, David
    Romero, David A.
    Amon, Cristina H.
    [J]. APPLIED ENERGY, 2017, 197 : 279 - 291
  • [52] Toward efficient optimization of wind farm layouts: Utilizing exact gradient information
    Guirguis, David
    Romero, David A.
    Amon, Cristina H.
    [J]. APPLIED ENERGY, 2016, 179 : 110 - 123
  • [53] Holland J., 1992, ADAPTATION NATURAL A
  • [54] 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
    [J]. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2019, 7 (05) : 975 - 986
  • [55] Combined optimization for offshore wind turbine micro siting
    Hou, Peng
    Hu, Weihao
    Soltani, Mohsen
    Chen, Cong
    Chen, Zhe
    [J]. APPLIED ENERGY, 2017, 189 : 271 - 282
  • [56] Optimization of offshore wind farm layout in restricted zones
    Hou, Peng
    Hu, Weihao
    Chen, Cong
    Soltani, Mohsen
    Chen, Zhe
    [J]. ENERGY, 2016, 113 : 487 - 496
  • [57] Huang HS, 2007, 2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS APPLICATIONS TO POWER SYSTEMS, VOLS 1 AND 2, P405
  • [58] Huang HS, 2009, PROC IEEE INT SYMP, P2162
  • [59] A METHOD FOR THE CONSTRUCTION OF MINIMUM-REDUNDANCY CODES
    HUFFMAN, DA
    [J]. PROCEEDINGS OF THE INSTITUTE OF RADIO ENGINEERS, 1952, 40 (09): : 1098 - 1101
  • [60] Optimum siting of wind turbine generators
    Jangamshetti, SH
    Rau, VG
    [J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 2001, 16 (01) : 8 - 13