摘要
根据目前PMU的配置状况和PMU与SCADA的数据特点,提出了一种基于PMU与SCADA混合量测的状态估计方法。该方法将非线性估计结果作为伪量测量加入线性估计中,并根据平均距离动态地调整伪量测量的权值,然后通过插值对非线性可观测区域进行实时的近似估计。最后通过IEEE14、IEEE57系统进行了仿真。仿真表明即使在PMU配置较少的情况下,该方法亦能够有效改进非线性可观测区域状态估计的精度和刷新速度。该方法兼顾了PMU和SCADA的特点,有较好的应用价值。
According to the present condition of PMU installation and the features of the SCADA and PMU, we proposed a hybrid state estimation model, in which the latest nonlinear state estimation result was added to linear model as pseudo measurements, and its weight was adjusted dynamically according to relative distance. Then, the node state was estimated by means of interpolation model, by which the estimation accuracy and speed were improved efficiently even if the PMU installation was insufficient. At last, a situation was simulated in which the nodal load varied continuously by IEEE 14 and IEEE 57 system. The simulation result reveals the effectiveness.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2009年第7期1765-1769,共5页
High Voltage Engineering
基金
国家自然科学基金(50677062)
浙江省自然科学基金(R107062)~~
关键词
电力系统
状态估计
SCADA
PMU
相对距离
权函数
伪量测量
插值模型
power systems
state estimation
SCADA
PMU
relative distance
weight function
pseudo measurement
interpolation model
