摘要
利用PMU和SCADA(数据采集与监控系统)组成混合量测,提出一种基于PMU量测多区域互联系统状态估计方法。从通过对角块加边模型(BBDF)的方法对大规模系统进行分区出发,在各区域内部单独进行状态估计的基础上,推导通过区域间数据交换得到修正的各区域外网戴维南等值,进而利用边界条件构造基于边界节点状态量的状态迭代模型,并通过不断修正各子系统相应的外界节点状态得到整个系统状态估计结果,通过6机25节点系统的仿真结果,验证了算法的有效性及优越性。
In the paper, based on hybrid measurement of supervisory control and data acquisition（SCADA） and phasor measurement units（PMU）, a new state estimation method for multi-area interconnected power system is presented. With the placement of PMUs based on the improved method of bordered block diagonal form （BBDF）, the large system can be divided into many small systems. Using the data of PMUs between subsystems as boundary condition based on thevenins equivalence for exterior-network, the problem of distributed power system state estimation turns to the problem with the modification of boundary state. At last, the effectiveness of the proposed algorithm is verified with numerical simulation on 6-machine 25-bus power system, and the computational speed is fast and the result is accurate.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2009年第5期46-50,62,共6页
Proceedings of the CSU-EPSA
关键词
相量测量单元
对角块加边模型
戴维南等值
状态估计
phasor measurement units（PMU）
bordered block diagonal form（BBDF）
Thevenins equivalence
state estimation（SE）
