Wind farm power maximization based on a cooperative static game approach
Wind farm power maximization based on a cooperative static game approach
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DOI：
10.1117/12.2009618
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发表时间：
2013-04
期刊：
影响因子：
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通讯作者：
Jinkyoo Park;Soon-Duck Kwon;K. Law
中科院分区：
文献类型：
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作者：
Jinkyoo Park;Soon-Duck Kwon;K. Law
本研究的目的是利用协同控制来提高风电场的成本效益和生产效率。决定风力机发电量和负荷的关键因素是机舱偏航和叶片俯仰角。然而，机舱和叶片角度可能会调整尾流方向和强度，这可能会对风力发电场中其他风力涡轮机的性能产生不利影响。传统的风力涡轮机控制方法最大限度地提高了单个涡轮机的发电量，但由于尾流干扰，可能会降低风力发电场的整体发电效率。引入合作博弈的概念，推导出单个风电机组的发电量，从而使风电场的总发电效率达到最优。基于一个尾迹相互作用模型，该模型将风力机的偏航偏角和感应系数与风力机所经历的风速联系起来，建立了一个以最大化风电场总发电量为目标的优化问题。应用最速下降算法寻找偏航偏置角和诱导系数的最优组合，以提高风电场的总发电量。数值仿真结果表明，该协调控制策略可以提高风电场的发电量。
The objective of this study is to improve the cost-effectiveness and production efficiency of wind farms using cooperative control. The key factors in determining the power production and the loading for a wind turbine are the nacelle yaw and blade pitch angles. However, the nacelle and blade angles may adjust the wake direction and intensity in a way that may adversely affect the performance of other wind turbines in the wind farm. Conventional wind-turbine control methods maximize the power production of a single turbine, but can lower the overall wind-farm power efficiency due to wake interference. This paper introduces a cooperative game concept to derive the power production of individual wind turbine so that the total wind-farm power efficiency is optimized. Based on a wake interaction model relating the yaw offset angles and the induction factors of wind turbines to the wind speeds experienced by the wind turbines, an optimization problem is formulated with the objective of maximizing the sum of the power production of a wind farm. A steepest descent algorithm is applied to find the optimal combination of yaw offset angles and the induction factors that increases the total wind farm power production. Numerical simulations show that the cooperative control strategy can increase the power productions in a wind farm.