- 學位論文
利用GRASP解決風力發電場最佳風機配置問題
A GRASP Algorithm for Optimal Wind Turbine Placement in Wind Farms
摘要
尾流效應是導致風力發電場效率降低的關鍵因素。對於各種風向和風力的情況下，準確預測不同風電場配置下之風電場成本與發電量之間的關係是非常重要的研究課題。為了最佳化風電場的配置，本研究提出一個貪婪隨機調變搜尋法(GRASP)來解決風電場最佳化配置的問題，分別針對四種不同的風場情況做探討，一、單一風向與單一風速；二、多風向與單一風速；三、可變風速與多風向；四、地形限制與多風向及可變風速的問題。本研究除了可以提供最佳風力發電機配置之外，結果還包括總發電量和總體發電效率。最後，我們的實驗結果顯示，與文獻其它方法相比較，我們的風力發電機配置能夠提供更好的成本電量比。
並列摘要
Ｗake effect is the key factor resulting in low efficiency in wind power. It is very important to predict the relation between the cost and the produced power for various wind turbine placement under varying wind speed and direction. This thesis proposed a GRASP algorithm for the optimal placement of wind turbines. We consider four different wind farm conditions. (a) unidirectional uniform wind, (b) uniform wind with variable direction, (c) non-uniform wind with variable direction, and (d) non-uniform and variable-direction wind with land constraints. Our method not only generates near-optimal wind turbine placement but also estimates the total power and efficiency. Finally, the experimental results show that the wind turbine placement produced by our method has a better cost/power rate than the existing methods.