Particle Swarm Optimization was used to study the optimal spacing of wind turbine array.
碩士 === 國立中央大學 === 土木工程研究所 === 96 === The spacing between wind turbines in a wind farm could influence the total power output of the wind farm. In this study, Particle Swarm Optimization (PSO) was used to study the optimal spacing (both streamwise and lateral spacing) of wind turbine array. The pow...
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| Format: | Others |
| Language: | zh-TW |
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2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/4e9vw7 |
| Summary: | 碩士 === 國立中央大學 === 土木工程研究所 === 96 === The spacing between wind turbines in a wind farm could influence the total power output of the wind farm. In this study, Particle Swarm Optimization (PSO) was used to study the optimal spacing (both streamwise and lateral spacing) of wind turbine array. The power output of downstream wind turbines were calculated by two different methods - mean wind speed method and wake power curve method. Under different wind directions, the optimal spacing found by the PSO were compared and analyzed. The results show that the optimal spacing of wind turbines was not only influenced by the objective function of optimization, but also the calculation method of power output.
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