摘要
针对微型同步相量测量单元(μPMU)与SCADA在采样周期、量测量等方面的差异,提出了基于μPMU与SCADA混合量测环境下配电网两阶段抗差动态状态估计方法,通过量测变换与Pseudo-Huber函数建立混合量测抗差状态估计,实现对坏数据自动抑制,为无迹卡尔曼滤波提供更精确的伪量测与初值,IEEE 33节点配电系统的仿真结果验证了该方法的有效性。
A two-stage robust dynamic state estimation method based on the mixed measurement environment ofμPMU and SCADA is proposed considering the difference between the micro phasor measurement unit(μPMU)and SCADA in terms of sampling period and measurement.The hybrid measurement robust state estimation is established.Automatic suppression of bad data is established using measurement transform and Pseudo-Huber function,providing more accurate pseudo-measurement and initial value for the subsequent unscented Kalman filtering.Effectiveness of the method is validated using IEEE 33-node distribution system.
作者
马骏宇
严正
徐潇源
MA Jun-yu;YAN Zheng;XU Xiao-yuan(Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240,China;Department of Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《水电能源科学》
北大核心
2020年第10期176-180,共5页
Water Resources and Power
基金
国家重点研发计划(2017YFB0902800)。
关键词
配电网
抗差估计
动态状态估计
无迹卡尔曼滤波
混合量测
distribution network
robust estimation
dynamic state estimation
unscented Kalman filter
hybrid measurement
