双馈风电机组附加控制对轴系振荡影响的评估方法

发布时间：2019-01-27 14:10

【摘要】：为消除绝对特征值灵敏度指标中参数量纲的影响,同时计及风速的概率分布特性对特征值灵敏度排序的影响,提出了一种累积相对特征值灵敏度(CRES)指标及其计算方法,并基于该指标定量评估了双馈风电机组附加控制(有功功率调制、虚拟惯性控制、下降控制、无功功率调制和机端电压控制)对机组本身轴系振荡阻尼的影响。CRES本质上是相对特征值灵敏度的加权和。通过引入相对特征值灵敏度消除了参数量纲的影响;在此基础上,按照转子运行状态将风速划分为若干区间,以平均风速作为该区间的典型风速,以风速落入该区间的概率作为该区间典型风速下计算所得相对特征值灵敏度的权重。时域仿真结果表明:基于CRES指标能有效地确定不同类型附加控制中影响轴系振荡阻尼的关键参数,通过对关键参数的重新整定可显著减小附加控制器对轴系振荡的不利影响和降低其对传动轴系统的转矩冲击。
[Abstract]:In order to eliminate the influence of the parameter dimension in the absolute eigenvalue sensitivity index and to take into account the influence of the probability distribution of wind speed on the ranking of eigenvalue sensitivity, a cumulative relative eigenvalue sensitivity (CRES) index and its calculation method are proposed. Based on this index, the additional control (active power modulation, virtual inertial control, descent control) of doubly-fed wind turbine is evaluated quantitatively. CRES is essentially a weighted sum of relative eigenvalue sensitivity. The influence of parameter dimension is eliminated by introducing relative eigenvalue sensitivity. On this basis, according to the rotor running state, the wind speed is divided into several sections, and the average wind speed is taken as the typical wind speed in this section. The probability of wind velocity falling into the interval is taken as the weight of the sensitivity of the relative eigenvalue calculated under the typical wind speed of the interval. The time domain simulation results show that the key parameters affecting the shafting oscillation damping can be effectively determined based on the CRES index. The unfavorable effect of the additional controller on the shafting oscillation and the torque impact on the transmission shaft system can be significantly reduced by the re-setting of the key parameters.
【作者单位】：清华大学电机工程与应用电子技术系;电力系统及发电设备控制和仿真国家重点实验室清华大学;广东电网公司珠海供电局;福建省电力有限公司电力经济技术研究院;
【基金】：国家高技术研究发展计划(863计划)资助项目(2014AA051901) 国家电网公司科技项目(KTB11201301545)~~
【分类号】：TM315

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