Pseudo‐measurement‐based state estimation for railway power supply systems with renewable energy resources
Zheng Pan,
Liang Che,
Chunming Tu
Abstract:State estimation is critical for railway power supply systems (RPSSs). Pseudo‐measurement is commonly used in state estimation. However, the fluctuations of renewable generations and railway traction loads in RPSS may introduce data noise, which will jeopardize the accuracy of the generated pseudo‐measurements and thus impact the state estimation. Additionally, when learning the historical measurement data sequences, the traditional pseudo‐measurement model is likely to have overfitting, which will further imp… Show more
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