摘要
微型同步相量测量单元(micro synchronous phasor measurement unit,μPMU)与远程终端(remote terminal unit,RTU)为配电网提供了高精度量测数据。针对μPMU和RTU混合数据,文章采用数据填补和容积卡尔曼滤波技术,提出了配电网混合量测的预测辅助状态估计(forecasting aided state estimation,FASE)算法。首先,针对混合量测数据不同更新周期,综合考虑历史数据稳定性和线性插值的同步特性,采用平均插值实现数据的综合填补。然后,采用容积卡尔曼滤波器,构建状态预测、量测预测和滤波修正方程,提出混合数据的配电网预测辅助状态估计算法。最后,在IEEE 37节点系统验证了该算法的有效性。
The micro synchronous phasor measurement unit(μPMU)and remote terminal unit(RTU)provide high precision measurement data for distribution network.This paper presents a forecasting aided state estimation(FASE)method based on hybrid measurement data,which uses data imputation and the cubature Kalman filter to improve the synchronous and filtering profile ofμPMU and RTU.Firstly,to improve the synchronous profile of RTU with the shorter updating period,the historical data and linear interpolation are considered comprehensively to realize the data imputation by weighted average interpolation.Then,the cubature Kalman filter is used to construct a state prediction equation,measurement prediction equation,and filter correction equation.A FASE for distribution network with mixed data is proposed.Finally,the validity of the proposed method is verified in the IEEE 37-node system.
作者
柴林杰
蔡亦浓
高铭
郝运
陈继开
李江
CHAI Linjie;CAI Yinong;GAO Ming;HAO Yun;CHEN Jikai;LI Jiang(State Grid Hebei Electric Economic Research Institute,Shijiazhuang 050021,China;School of Electrical Engineering,Northeast Electric Power University,Jilin 132012,Jilin Province,China)
出处
《电力建设》
CSCD
北大核心
2021年第8期1-9,共9页
Electric Power Construction
基金
国家电网公司科技项目(5204JY20000B)。
