首页> 外文期刊>Renewable Power Generation, IET >Control and quantification of kinetic energy released by wind farms during power system frequency drops
【24h】

Control and quantification of kinetic energy released by wind farms during power system frequency drops

机译:电力系统频率下降期间风电场释放的动能的控制和量化

获取原文
获取原文并翻译 | 示例
       

摘要

High wind energy penetration levels in modern power systems draw attention towards wind farms expected role during frequency drops. Wind farms positive contribution required by system operators basically depends on the amount of kinetic energy stored in wind turbines rotating parts and how to manage it during frequency deviations elimination. This study presents an algorithm to estimate and control the quantity of extractable kinetic energy stored in a wind farm during frequency drops. Moreover, it manages stored kinetic energy release within a given time span to achieve positive participation in frequency drops clearance. The proposed method is based on tuning the tip speed ratio before and during the frequency drop according to several factors. The recovery time required by the wind turbine to retain its normal speed is also a function of several parameters including turbine inertia and the incoming wind speed. The proposed algorithm's impact on power system frequency is analysed by assessing the expected enhancement in frequency deviation. A hypothetical grid is considered as the benchmark including detailed modelling for wind speeds, wind turbine and wind farm to improve the creditability of the obtained results. Presented research work outcomes highlight the impact of wind farms replacement for conventional generators. Executed simulations proved that applying the proposed algorithm neutralises wind energy penetration influence on system frequency response, even more, it causes solid improvements unless the incident wind speed is too slow or the frequency drop is too high. Simulation environments are MATLAB and Simulink.
机译:现代电力系统中高的风能渗透水平引起了人们对风力发电场在频率下降期间预期作用的关注。系统运营商所需的风电场积极贡献基本上取决于存储在风力涡轮机旋转部件中的动能数量以及在消除频率偏差期间如何进行管理。这项研究提出了一种算法,用于估计和控制在频率下降期间存储在风电场中的可提取动能的数量。此外,它可以管理给定时间段内存储的动能释放,从而积极参与降频清除。所提出的方法是基于根据几个因素调整频率下降之前和期间的叶尖速度比。风力涡轮机保持其正常速度所需的恢复时间也是几个参数的函数,包括涡轮机惯性和传入风速。通过评估频率偏差的预期增强,分析了该算法对电力系统频率的影响。假设的网格被视为基准,包括风速,风力涡轮机和风电场的详细建模,以提高所获得结果的可信度。提出的研究成果强调了风电场替代传统发电机的影响。进行的仿真证明,应用所提出的算法可以抵消风能渗透对系统频率响应的影响,甚至可以进一步改善风速,除非入射风速太慢或频率降得太高。仿真环境是MATLAB和Simulink。

著录项

  • 来源
    《Renewable Power Generation, IET》 |2013年第3期|1-15|共15页
  • 作者

    Attya A.B.T.; Hartkopf T.;

  • 作者单位

    Renewable Energy Department, Institute of Electrical Power Systems, Darmstadt University of Technology, Landgraf-Georg-Street 4, 64283 Darmstadt, Germany|c|;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 13:27:57

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号