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Fusion of PMU and SCADA Data for dynamic state estimation of power system

机译:融合PMU和SCADA数据进行电力系统动态状态估计

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In recent times dynamic state estimation has been identified as a requirement for the modern power system. The availability of Phasor Measurement Units (PMUs) has made the tracking of power system dynamic states in real time quite feasible. However, the measurement system of today's grid consists of a combination of (1) traditional slow SCADA data with low sampling rates and (2) fast PMUs having high sampling rates. Such measurements with different sampling rates pose a serious challenge in integrating them into power system dynamic state estimator. This paper addresses this problem as a special case of multi-rate multi-sensor data fusion problem and appropriately adopts a method to integrate PMU and SCADA data in the power system dynamic state estimator. The proposed method has been demonstrated using a IEEE 14 bus test case.
机译:近年来,动态状态估计已被确定为现代电力系统的要求。相量测量单元(PMU)的可用性使实时跟踪电力系统动态状态变得十分可行。但是,当今网格的测量系统由以下部分组成:(1)具有低采样率的传统慢速SCADA数据和(2)具有高采样率的快速PMU。具有不同采样率的此类测量在将其集成到电力系统动态状态估计器中提出了严峻挑战。本文将这一问题作为多速率多传感器数据融合问题的特例加以解决,并适当地采用一种将PMU和SCADA数据集成到电力系统动态状态估计器中的方法。已使用IEEE 14总线测试案例论证了所提出的方法。

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