DocumentCode :
1998999
Title :
Obstacle-avoiding wind turbine placement for power-loss and wake-effect optimization
Author :
Yu-Wei Wu ; Yi-Yu Shi ; Roy, Sudip ; Tsung-Yi Ho
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear :
2015
fDate :
19-22 Jan. 2015
Firstpage :
202
Lastpage :
207
Abstract :
As finite energy resources are being consumed at fast rate than they can be replaced, renewable energy resources have drawn an extensive attention. Wind power development is one such example, which is growing significantly throughout the world. The main difficulty in wind power development is that wind turbines interfere with each other. The produced turbulence, known as wake effect, directly reduces the power generation. In addition, wirelength among wind turbines is not merely an economic factor, but also it decides power loss in the wind farm. Moreover, in reality, obstacles exist in the wind farm which is unavoidable, e.g., private land, lake and so on. Nevertheless, to the best of our knowledge, none of the existing works consider wake effect, wirelength and obstacle-avoiding at the same time in the wind turbine placement problem. In this paper, we propose an analytical method to obtain the obstacle-avoiding placement of wind turbines optimizing both power loss and wake effect. Simulation results show that the wind power produced by our tool is similar to that by the industrial tool AWS OpenWind. Besides, our algorithm can reduce the wirelength and avoid obstacles successfully while finding the locations of wind turbines at the same time.
Keywords :
optimisation; power engineering computing; wakes; wind power plants; wind turbines; AWS OpenWind industrial tool; obstacle avoiding placement; power generation; power loss; wake effect optimization; wind farm; wind power development; wind turbine placement; Approximation methods; Integrated circuits; Rotors; Shape; Wind farms; Wind power generation; Wind turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference (ASP-DAC), 2015 20th Asia and South Pacific
Conference_Location :
Chiba
Print_ISBN :
978-1-4799-7790-1
Type :
conf
DOI :
10.1109/ASPDAC.2015.7059005
Filename :
7059005
Link To Document :
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