基于改进的RBAUKF的电力频率跟踪新算法  

Frequency Tracking of Distorted Power Signal Based on the Improved RBAUKF Algorithm

作　　者：于静文[1] 薛蕙[1] 温渤婴[1] 

机构地区：[1]中国农业大学信息与电气工程学院,北京100083

出　　处：《电测与仪表》2010年第9期22-26,共5页Electrical Measurement & Instrumentation

摘　　要：将电力系统的三相电压信号构造成一复信号,然后利用改进的RBAUKF算法对发生谐波和随机噪声干扰的电力系统电压信号进行动态估计和频率跟踪。针对电力系统中充满谐波畸变和随机噪声干扰,而复数型扩展卡尔曼滤波(ECKF)只是对非线性映射本身做某种线性近似等问题,在基于无迹卡尔曼滤波(UKF)算法的基础上,提出改进的无迹卡尔曼滤波(RBAUKF)的估计算法,并与复数型扩展卡尔曼滤波做了相应比较。经过对几种暂态电力系号模型的仿真试验表明,改进的RBAUKF在计算复杂度和估计精度上都优于ECKF。The 3-phase voltage signal of a power system is transformed into a complex voltage signal,and then dynamic estimating and frequency tracking the voltage signal of a power system used the improved Rao-Blackwellised Additive Unscented Kalman Filter(RBAUKF)algorithm in the presence of harmonic disturbance and random noise.Aiming at that power systems are full of harmonic distortion and random noise,and the extended complex Kalman filter(ECKF) just do some linear approximation to the nonlinear mapping etc.,it i...

关 键 词：频率跟踪 无迹变换 卡尔曼滤波 罗-勃拉克维尔 自适应滤波 

分 类 号：TM744[电气工程—电力系统及自动化]