基于Nelder-Mead方法的风电场无模型功率优化

Zhiwei Xu, H. Geng, B. Chu
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引用次数: 1

摘要

风力发电机组产生的尾流效应导致了风力发电机组之间强烈的尾流相互作用,从而显著降低了风电场的输出功率。然而,由于其复杂性,通常很难对涡轮机之间的相互作用进行建模。为了减轻尾流相互作用,提高风电场的输出功率,本文提出了一种无模型优化方案。根据风电场在不同风向下的功率效率,将风电场功率优化问题划分为若干优化子问题。采用基于Nelder-Mead法的功率优化算法对各优化子问题进行了近似求解。仿真结果表明,该方案可以在不模拟风机间尾迹相互作用的情况下,快速有效地提高风电场在复杂风况下的输出功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model-Free Power Optimization of Wind Farm Based on Nelder-Mead Method
Wake effects generated by wind turbines causes the strong wake interactions among turbines and thus significantly lowers the power output of wind farm. However, it is generally difficult to model the interactions between turbines due to its complexity. To mitigate the wake interactions and thus improve the power output of wind farm, this paper proposes a model-free optimization scheme. The power optimization problem of wind farm is divided into several optimization sub-problems according to the power efficiencies of wind farm under different wind directions. Each optimization sub-problem is solved approximately by developed power optimization algorithm based on Nelder-Mead method. Simulation results show that the proposed scheme can quickly and effectively improve the power output of wind farm in complex wind condition without modeling the wake interactions among the turbines.
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