【摘要】 提出了一种基于轨迹灵敏度的发电机参数抗差估计方法,可应用于发电机参数在线辨识与仿真模型校正。首先,利用轨迹灵敏度辨识出对电力系统动态过程影响较大的主导参数集作为待估计参数集。然后,基于相量测量单元(PMU)量测数据,采用基于轨迹灵敏度的逐次逼近方法对该模型进行求解,可以快速得到最优估计结果。另外,将一种具有很强抗差能力的最大指数平方估计模型引入到参数估计中,该估计模型具有自动压缩坏数据影响的能力。新英格兰系统的算例表明,所提出的方法有效,且具有很强的抗差能力。更多还原

【Abstract】 A trajectory sensitivity-based generator parameter robustness estimation method is proposed,which can be used in online applications.Firstly,trajectory sensitivity is used to form the parameter set which has a relatively strong influence on a power system’s dynamic behavior.An exponential type objective function is used to formulate the estimation model,which can automatically compress the bad data.A trajectory sensitivity-based method using phasor measurement unit(PMU)data is also presented to solve this model.The validity of the method proposed is proved by numerical tests on a New England system.更多还原