An optimal active power control method of wind farm using power prediction information

N. Chen, Qi Wang, Yi Tang, Ling-zhi Zhu, Fubao Wu, Mei Chen, N. Wang
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引用次数: 2

Abstract

With the fast development of wind power, the techniques related to its grid integration and control have been researched all over the world. In which, active power control of wind farm is one of the most important techniques. However, current methods are not good to satisfy the relevant requirements. For the problem, an optimal active power control method of wind farm using the information of ultra-short-term wind power prediction is proposed in this paper. In this method, a weight coefficient is defined to judge whether the generator can be adjusted or not, and used to calculate the power allocation of wind generators. Finally, by comparing with current methods, the results show that the proposed method can improve the controllability and reliability of wind power to smooth power output of wind generators and avoid frequent power adjustment.
基于功率预测信息的风电场最优有功控制方法
随着风电的快速发展,风电并网控制技术在世界范围内得到了广泛的研究。其中,风电场有功功率控制是最重要的技术之一。然而,现有的方法还不能很好地满足相关要求。针对这一问题,本文提出了一种利用超短期风电功率预测信息的风电场最优有功控制方法。在该方法中,定义了一个权重系数来判断发电机是否可调,并用于计算风力发电机的功率分配。最后,通过与现有方法的比较,表明所提方法能够提高风电的可控性和可靠性,使风力发电机组的输出平稳,避免频繁的功率调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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