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基于容积卡尔曼滤波的发电机动态状态估计

DOI: 10.13334/j.0258-8013.pcsee.2014.16.022, PP. 2706-2713

Keywords: 机电暂态,容积卡尔曼滤波,发电机,相量测量单元,动态状态估计

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Abstract:

同步相量测量单元(phasormeasurementunit,PMU)能够对动态过程中同步发电机功角进行直接量测,但随机误差`PMU存在量测误差,从而对应用造成不良后果。提出一种机电暂态过程中发电机动态状态估计新方法。基于发电机四阶动态方程建立了发电机动态状态估计模型;给出了过程噪声误差计算方法;由于动态状态估计模型为非线性,进而提出基于容积卡尔曼滤波(cubatureKalmanfilter,CKF)的动态状态估计方法,利用球面-径向规则生成Cubature点,通过发电机动态方程对Cubature点进行变换,得到发电机状态量预报值。仿真分析利用某实际大区域电网同时实现了基于CKF和无迹卡尔曼滤波(unscentedKalmanfilter,UKF)的动态状态估计。对这两种方法的估计性能指标进行对比分析,结果表明CKF法状态估计效果和计算效率均优于UKF法状态估计。

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