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- W4298016826 abstract "We propose a fast real-time state estimator based on the belief propagation algorithm for the power system state estimation. The proposed estimator is easy to distribute and parallelize, thus alleviating computational limitations and allowing for processing measurements in real time. The presented algorithm may run as a continuous process, with each new measurement being seamlessly processed by the distributed state estimator. In contrast to the matrix-based state estimation methods, the belief propagation approach is robust to ill-conditioned scenarios caused by significant differences between measurement variances, thus resulting in a solution that eliminates observability analysis. Using the DC model, we numerically demonstrate the performance of the state estimator in a realistic real-time system model with asynchronous measurements. We note that the extension to the AC state estimation is possible within the same framework." @default.
- W4298016826 created "2022-10-01" @default.
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- W4298016826 date "2017-05-03" @default.
- W4298016826 modified "2023-09-26" @default.
- W4298016826 title "Fast Real-Time DC State Estimation in Electric Power Systems Using Belief Propagation" @default.
- W4298016826 doi "https://doi.org/10.48550/arxiv.1705.01376" @default.
- W4298016826 hasPublicationYear "2017" @default.
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