A fast and robust state estimator based on exponential function for power systems

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...

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Main Authors: Chen, Tengpeng, Ren, He, Foo, Eddy Yi Shyh, Sun, Lu, Amaratunga, Gehan A. J.
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/163312
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1633122022-12-01T00:50:35Z A fast and robust state estimator based on exponential function for power systems Chen, Tengpeng Ren, He Foo, Eddy Yi Shyh Sun, Lu Amaratunga, Gehan A. J. School of Electrical and Electronic Engineering Experimental Power Grid Centre (EPGC) Engineering::Electrical and electronic engineering Phasor Measurement Unit Quadratic Function 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. This work was supported in part by the National Natural Science Foundation of China under Grant 61903314; in part by the Basic Research Program of Science and Technology of Shenzhen, China, under Grant JCYJ20190809162807421; and in part by the Natural Science Foundation of Fujian Province under Grant 2019J05020. 2022-12-01T00:50:35Z 2022-12-01T00:50:35Z 2022 Journal Article 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. https://dx.doi.org/10.1109/JSEN.2022.3143885 1530-437X https://hdl.handle.net/10356/163312 10.1109/JSEN.2022.3143885 2-s2.0-85123380280 6 22 5755 5767 en IEEE Sensors Journal © 2022 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Phasor Measurement Unit
Quadratic Function
spellingShingle Engineering::Electrical and electronic engineering
Phasor Measurement Unit
Quadratic Function
Chen, Tengpeng
Ren, He
Foo, Eddy Yi Shyh
Sun, Lu
Amaratunga, Gehan A. J.
A fast and robust state estimator based on exponential function for power systems
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Chen, Tengpeng
Ren, He
Foo, Eddy Yi Shyh
Sun, Lu
Amaratunga, Gehan A. J.
format Article
author Chen, Tengpeng
Ren, He
Foo, Eddy Yi Shyh
Sun, Lu
Amaratunga, Gehan A. J.
author_sort Chen, Tengpeng
title A fast and robust state estimator based on exponential function for power systems
title_short A fast and robust state estimator based on exponential function for power systems
title_full A fast and robust state estimator based on exponential function for power systems
title_fullStr A fast and robust state estimator based on exponential function for power systems
title_full_unstemmed A fast and robust state estimator based on exponential function for power systems
title_sort fast and robust state estimator based on exponential function for power systems
publishDate 2022
url https://hdl.handle.net/10356/163312
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