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A Real-Time Recursion Correction Hybrid Linear State Estimator Using Stream Processing
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DOI：10.1109/TII.2022.3202522.png)
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Abstract
En 中文
This study intends to improve the accuracy, efficiency, and timeliness of state estimation (SE) for large-scale electric power systems by presenting a recursion correction hybrid linear state estimator that utilizes all the field measurements received from supervisory control and data acquisition (SCADA) systems and phasor measurement units (PMUs). We present a novel reformulation of the SE problem, where the SCADA and PMU measurements are processed asynchronously. Here, the PMU measurements along with the previous SE results are utilized during the time gap between two successive SCADA measurement sets to run a recursion correction, and thereby, provide real-time updates of the system state estimates. Moreover, the efficiency of this process is guaranteed through multithreaded stream processing. The effectiveness of the proposed method is demonstrated based on simulations involving IEEE 14-bus, 118-bus, and Polish 2383-bus systems.
Keywords:
Phasor measurement units
Voltage measurement
Power measurement
Current measurement
Time measurement
Power systems
Weight measurement
Multithreading
phasor measurement units
real-time
recursion correction
state estimation
stream processing
Journal
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9.9
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8.3K
Citations:
6.0W