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Title: A fast and robust state estimator based on exponential function for power systems
Authors: Chen, Tengpeng
Ren, He
Foo, Eddy Yi Shyh
Sun, Lu
Amaratunga, Gehan A. J.
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Chen, T., Ren, H., Foo, E. Y. S., Sun, L. & Amaratunga, G. A. J. (2022). A fast and robust state estimator based on exponential function for power systems. IEEE Sensors Journal, 22(6), 5755-5767.
Journal: IEEE Sensors Journal
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.
ISSN: 1530-437X
DOI: 10.1109/JSEN.2022.3143885
Rights: © 2022 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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