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Investigating the Power-COE trade-off for wind farm layout optimization considering commercial turbine selection and hub height variation

机译:研究考虑商用涡轮机选择和轮毂高度变化的风力发电场布局优化的Power-COE折衷

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New aspects were added to the wind farm layout optimization problem by including commercial-turbine selection and a realistic representation for the thrust coefficient. The available manufacturers' data were used to develop generic representation for the thrust coefficient, on which the wake and power calculations mainly depend. A simple field-based cost model was implemented. The optimization was performed for onshore and offshore conditions using MATLAB genetic algorithm, ga, solver for two simple test cases. Three objective functions were considered, individually: (1) the output power, (2) the capacity factor, and (3) the cost per output power.
机译:通过包括商用涡轮机选择和推力系数的逼真的表示,新的方面被添加到风电场布局优化问题中。可用的制造商数据用于开发推力系数的通用表示形式,而尾流和功率计算主要依赖于此。实施了一个简单的基于领域的成本模型。针对两个简单的测试案例,使用MATLAB遗传算法ga,solver对陆上和海上条件进行了优化。分别考虑了三个目标函数:(1)输出功率,(2)容量系数,以及(3)每输出功率的成本。

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