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- W4205874162 abstract "In realistic power system state estimation, the distribution of measurement noise is usually assumed to be Gaussian while many researcher have verified that it can be non-Gaussian. In this paper, a new robust state estimator based on exponential absolute value function is proposed to address the non-Gaussian measurement noise and outliers. The influence function, a robust statistics tool, is used to obtain the state estimates to reduce its computational burden. A state estimation mean squared error formula of the proposed robust estimator is derived which can be used as a reference in the wide area monitoring system design or upgrade. Simulation results obtained from the IEEE 30-bus, 118-bus and 300-bus systems verify the effectiveness and robustness of the proposed robust estimator." @default.
- W4205874162 created "2022-01-25" @default.
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- W4205874162 date "2022-03-15" @default.
- W4205874162 modified "2023-09-24" @default.
- W4205874162 title "A Fast and Robust State Estimator Based on Exponential Function for Power Systems" @default.
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- W4205874162 doi "https://doi.org/10.1109/jsen.2022.3143885" @default.
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