Optimization of the Wind Turbine Layout and Transmission System Planning for a Large-Scale Offshore Wind Farm by AI Technology

被引:84
|
作者
Wu, Yuan-Kang [1 ]
Lee, Ching-Yin [2 ,3 ]
Chen, Chao-Rong [3 ]
Hsu, Kun-Wei [4 ]
Tseng, Huang-Tien [5 ]
机构
[1] Natl Chung Cheng Univ, Dept Elect Engn, Chiayi 62102, Taiwan
[2] Tungnan Univ, Taipei 222, Taiwan
[3] Natl Taipei Univ Technol, Dept Elect Engn, Taipei 106, Taiwan
[4] Taiwan Power Co, Taipei 100, Taiwan
[5] Taiwan Semicond Mfg Co, Hsinchu 30078, Taiwan
关键词
Ant colony system (ACS); artificial intelligence; genetic algorithm (GA); offshore wind power; optimization; wake effect; POWER;
D O I
10.1109/TIA.2013.2283219
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The interest in the utilization of offshore wind power is increasing significantly worldwide. A typical offshore wind farm may have hundreds of generators, which is outspread in the range of several to tens of kilometers. Therefore, there are many feasible schemes for the wind turbine location and internal line connection in a wind farm. The planner must search for an optimal one from these feasible schemes, usually with a maximum wind power output and the lowest installation and operation cost. This paper proposes a novel procedure to determine the optimization wind turbine location and line connection topology by using artificial intelligence techniques: The genetic algorithm is utilized in the optimal layouts for the offshore wind farm, and the ant colony system algorithm is utilized to find the optimal line connection topology. Furthermore, the wake effect, real cable parameters, and wind speed series are also considered in this research. The concepts and methods proposed in this study could help establish more economical and efficient offshore wind farms in the world.
引用
收藏
页码:2071 / 2080
页数:10
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