Performance optimization of a wind turbine column for different incoming wind turbulence
Performance optimization of a wind turbine column for different incoming wind turbulence
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DOI：
10.1016/j.renene.2017.05.046
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发表时间：
2018-02
期刊：
影响因子：
8.7
通讯作者：
V. Santhanagopalan;M. Rotea;G. Iungo
中科院分区：
文献类型：
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作者：
V. Santhanagopalan;M. Rotea;G. Iungo
通过耦合用于预测风力涡轮机尾流的RANS求解器和动态规划来执行风力涡轮机柱的性能优化。风力涡轮机尾流的下游演化模拟具有与尾流工程模型相当的低计算成本，但具有改进的精度和模拟不同来风湍流的能力。动态规划是用来估计最佳的叶尖速比（TSR）和流向间距的涡轮机，通过使用混合目标的性能指标，包括总发电量从整个涡轮机阵列的平均湍流强度的惩罚影响转子盘。惩罚系数，代表的经济影响的疲劳负荷的风能收入的比率，是不同的，以模拟不同的经济时期。结果表明，风力发电场优化的一般策略应包括通过间距优化和使用相对较低的疲劳载荷惩罚系数进行耦合设计，而风力涡轮机操作通过variyTSR进行优化。
Optimization of the performance for a wind turbine column is performed by coupling a RANS solver for prediction of wind turbine wakes and dynamic programming. Downstream evolution of wind turbine wakes is simulated with low computational cost comparable to that of wake engineering models, but with improved accuracy and capability to simulate different incoming wind turbulence. Dynamic programming is used to estimate optimal tip speed ratio (TSR) and streamwise spacing of the turbines by using a mixed-objective performance index consisting of total power production from the entire turbine array with the penalty of the average turbulence intensity impacting over the rotor discs. The penalty coefficient, representing the economic impact of fatigue loads as ratio of wind energy revenue, is varied in order to mimic different economic periods. The results suggest that a general strategy for wind farm optimization should consist in coupling design performed through spacing optimization and using a relatively low penalty coefficient for the fatigue loads, while wind turbine operations are optimized by varyingTSR.