一种改进状态模型的动态相量测量算法  

A dynamic phasor measurement algorithm based on improved state model

作　　者：肖雄波[1] 夏立[1] 王黎明[1] 

机构地区：[1]海军工程大学电气工程学院,湖北武汉430033

出　　处：《电机与控制学报》2015年第12期47-52,59,共7页Electric Machines and Control

基　　金：国家自然科学基金(61101206)

摘　　要：同步相量测量技术的一个关键问题是如何实时有效地估算包含电力参数信息的相量值。建立了计及电压、电流、频率、相位、有功和无功等电气参量的状态估计模型,在自适应陷波提取基波电压电流分量的基础上,借助无迹卡尔曼滤波递推框架进行状态估计,实时获得电压、电流、频率、相位、有功和无功功率等电气参量的估计值。通过状态扩展系统模型,增强了系统的鲁棒性,在前端增加自适应陷波器,有效降低了谐波对跟踪性能高的影响。四组仿真对比分析说明提出的新算法较文献[12]方法而言,对频率突变和幅值突变的影响更小,跟踪性能受谐波的影响程度更小,在频率缓变情况下的跟踪性能优于文献的方法,从而说明提出的新方法更优。A key issue of the synchronous phasor measurement technology is how to estimate the phasor ef- fectively which contains electrical power parameters. This paper establishes a state estimation model in- volving voltage, current, frequency, phase, active and reactive power. On the basis of getting fundamen- tal waveform of voltage and current by adaptive notch filter, Unscented Kalman Filter （UKF） was used for estimating state and the values of voltage, current, frequency, phase, active and reactive power were gotton. The improved state -extended model increases the system robustness, adaptive notch filters de- crease the influence of harmonic signals. Through four simulation comparisons, the new algorithm＇ s in- fluence on mutation of frequency and amplitude is smaller, harmonic＇ s influence on tracking performance is smaller, with its tracking performance is better than the algorithm in literature[ 12 ] under the condition that frequency changed slowly. So the new algorithm proposed by this paper is better.

关 键 词：动态相量测量 自适应陷波 UKF 状态模型 电力参数分析 

分 类 号：TM744[电气工程—电力系统及自动化]