Robust Voltage Instability Predictor

Junbo Zhao; Zhaoyu Wang; Chen Chen; Gexiang Zhang

doi:10.1109/TPWRS.2016.2574701

Robust Voltage Instability Predictor

Junbo Zhao
, Zhaoyu Wang
, Chen Chen
, Gexiang Zhang

Southwest Jiaotong University
Virginia Polytechnic Institute and State University
Iowa State University
Argonne National Laboratory

科研成果: 期刊稿件 › 文章 › 同行评审

19 引用（Scopus）

摘要

This letter presents a robust voltage instability predictor using local noisy PMU measurements. A robust recursive least squares estimation is proposed to mitigate the impacts of gross PMU measurement errors on estimating the bus impedance and the Thevenin equivalent impedance used for voltage stability analysis. Numerical results on the IEEE 39-bus system validate the effectiveness and robustness of the proposed method.

源语言	英语
文章编号	7484311
页（从-至）	1578-1579
页数	2
期刊	IEEE Transactions on Power Systems
卷	32
期	2
DOI	https://doi.org/10.1109/TPWRS.2016.2574701
出版状态	已出版 - 3月 2017
已对外发布	是

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10.1109/TPWRS.2016.2574701

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abstract = "This letter presents a robust voltage instability predictor using local noisy PMU measurements. A robust recursive least squares estimation is proposed to mitigate the impacts of gross PMU measurement errors on estimating the bus impedance and the Thevenin equivalent impedance used for voltage stability analysis. Numerical results on the IEEE 39-bus system validate the effectiveness and robustness of the proposed method.",

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author = "Junbo Zhao and Zhaoyu Wang and Chen Chen and Gexiang Zhang",

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AB - This letter presents a robust voltage instability predictor using local noisy PMU measurements. A robust recursive least squares estimation is proposed to mitigate the impacts of gross PMU measurement errors on estimating the bus impedance and the Thevenin equivalent impedance used for voltage stability analysis. Numerical results on the IEEE 39-bus system validate the effectiveness and robustness of the proposed method.

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KW - PMU measurements

KW - robust estimation

KW - voltage stability

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Robust Voltage Instability Predictor

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