湖南电力 ›› 2022, Vol. 42 ›› Issue (1): 23-31.doi: 10.3969/j.issn.1008-0198.2022.01.005

• 研究与试验 • 上一篇    下一篇

计及风速波动和频率约束的风电最大接入比例研究

鲁丁文1, 廖凯1, 沈阳武2, 王敏1   

  1. 1.西南交通大学电气工程学院,四川 成都 611756;
    2.国网湖南省电力有限公司电力科学研究院,湖南 长沙 410007
  • 收稿日期:2021-08-30 发布日期:2025-08-05
  • 作者简介:鲁丁文(1997),男,硕士,研究方向为风力发电频率稳定性分析与控制。廖凯(1989),男,博士,副教授,研究方向为新能源电力系统稳定分析与控制、城市电网保护与控制技术。沈阳武(1985),男,博士,高级工程师,主要研究方向为新能源并网控制、电力系统稳定分析。王敏(1997),男,硕士,研究方向为风电场无功优化控制。
  • 基金资助:
    国网湖南省电力有限公司科技项目(5216A520000M)

Research on Maximum Penetration Level of Wind Power Considering Wind Speed Fluctuation and Frequency Constraint

LU Dingwen1, LIAO Kai1, SHEN Yangwu2, WANG Min1   

  1. 1. School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China;
    2. State Grid Hunan Electric Power Company Limited Research Institute, Changsha 410007, China
  • Received:2021-08-30 Published:2025-08-05

摘要: 随着全球风电渗透水平不断提高,电力系统惯性水平不断下降,并且由于风速波动的影响,进一步加大了系统频率的波动性,制约了风电最大接入比例。因此,针对风速波动对电网系统频率的影响,建立考虑风速波动的低阶系统频率响应模型,并提出一种基于虚拟滤波器的风机一次调频控制方法,通过在减载功率控制器上加入附加控制环节,不影响风机原有一次调频能力的基础上,抑制风速波动对系统频率的影响,提高风电最大接入比例。此外,为衡量提升效果,提出一种计及风速波动和频率约束的风电最大接入比例计算方法。最后,在Matlab/Simulink上搭建含风机的IEEE9节点时域模型并设置不同的仿真场景,验证了所提计算方法的准确性以及所提控制方法的有效性。

关键词: 风力发电, 频率响应模型, 渗透水平, 频率约束, 虚拟滤波器

Abstract: With the continuous improvement of global wind power penetration level, the inertia level of power system continues to decline, and due to the influence of wind speed fluctuation, the fluctuation of system frequency is further increased, which restricts the maximum penetration level of wind generation. Therefore, aiming at the influence of wind speed fluctuation on system frequency, a low-order system frequency response model considering wind speed fluctuation is established, and a wind turbine primary frequency regulation control method based on virtual filter is proposed. By adding an additional control loop to the load shedding power controller, on the basis of not affecting the original primary frequency regulation ability of the wind turbine, the influence of wind speed fluctuation on system frequency is suppressed, and the maximum penetration level of wind generation is improved. In addition, in order to measure the improvement effect, a calculation method of maximum penetration level of wind generation considering wind speed fluctuation and frequency constraints is proposed. Finally, the IEEE9 node time domain model with wind turbines is built on Matlab/Simulink, and different simulation scenarios are set to verify the accuracy of the proposed calculation method and the effectiveness of the proposed control method.

Key words: wind power generation, frequency response model, penetration level, frequency constraint, virtual filter

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