一种基于PMU的分块解耦状态估计模型

A partition decoupled state estimation model based on PMU

研究了使状态估计分块解耦的PMU配置,建立了引入PMU的分块解耦状态估计模型。利用PMU的电压量测,把一个电力系统网络分块成几个子系统网络分别进行状态估计,各个子系统之间不再存在数据的交换。PMU的支路电流相量可转换成相关节点的电压相量或相关的支路潮流,提高了量测系统数据的精度和冗余度,有利于提高状态估计的性能。对IEEE30节点的算例仿真表明,当PMU测量精度较高时,与常规的应用PMU的状态估计模型相比,分块解耦状态估计提高了估计的精度和速度。随着分块的增多,计算机并行技术的使用,有可能实现电力系统实时状态估计。

The synchronous phasor measurement unit （PMU） configuration causing state estimation partition decoupiing was studied, a partition coupled state estimation model was established in which the PMU was introduced. By using the voltage measurement of PMU, a whole electric power system is partitioned to several sub-system nets for state estimation respectively, and there are not data exchange between the sub-systems. The branch current phasors of PMU can be transformed into relevant node voltage phasors or relevant branch tidal current, the accuracy and redundancy of measurement data are increased, and the performance of state estimation is raised. The simulation arruing at IEEE30 node calculation example shows that when the PMU measurement accuracy is higher, the accuracy and speed of partition decoupled state estimation model was increased compared with that of the routine model using PMU. Along with the increase of partition and the application of computer parallel processing technique, the real time state estimation of electric power system will be possible.