Assessing Gaussian Assumption of PMU Measurement Error Using Field Data

Wang, Shaobu; Zhao, Junbo; Huang, Zhenyu; Diao, Ruisheng

doi:10.1109/TPWRD.2017.2762927

Title: Assessing Gaussian Assumption of PMU Measurement Error Using Field Data

Abstract

Gaussian PMU measurement error has been assumed for many power system applications, such as state estimation, oscillatory modes monitoring, voltage stability analysis, to cite a few. This letter proposes a simple yet effective approach to assess this assumption by using the stability property of a probability distribution and the concept of redundant measurement. Extensive results using field PMU data from WECC system reveal that the Gaussian assumption is questionable.

Authors:

Wang, Shaobu ^[1]; Zhao, Junbo ^[2]; Huang, Zhenyu ^[1]; Diao, Ruisheng ^[1]

Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States). Bradley Dept. of Electrical and Computer Engineering

Publication Date:: 2017-10-13

Research Org.:: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Sponsoring Org.:: USDOE Office of Electricity (OE)

OSTI Identifier:: 1438236

Grant/Contract Number:: AC05-76RL01830; 1711191

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Power Delivery

Additional Journal Information:: Journal Volume: 33; Journal Issue: 6; Journal ID: ISSN 0885-8977

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 24 POWER TRANSMISSION AND DISTRIBUTION

Citation Formats


                    Wang, Shaobu, Zhao, Junbo, Huang, Zhenyu, and Diao, Ruisheng. Assessing Gaussian Assumption of PMU Measurement Error Using Field Data.  United States: N. p., 2017. 
Web.  doi:10.1109/TPWRD.2017.2762927.

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                    Wang, Shaobu, Zhao, Junbo, Huang, Zhenyu, & Diao, Ruisheng. Assessing Gaussian Assumption of PMU Measurement Error Using Field Data.  United States.  https://doi.org/10.1109/TPWRD.2017.2762927

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                    Wang, Shaobu, Zhao, Junbo, Huang, Zhenyu, and Diao, Ruisheng. Fri .  
"Assessing Gaussian Assumption of PMU Measurement Error Using Field Data".  United States.  https://doi.org/10.1109/TPWRD.2017.2762927.  https://www.osti.gov/servlets/purl/1438236.

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@article{osti_1438236,

  title        = {Assessing Gaussian Assumption of PMU Measurement Error Using Field Data},

  author       = {Wang, Shaobu and Zhao, Junbo and Huang, Zhenyu and Diao, Ruisheng},

  abstractNote = {Gaussian PMU measurement error has been assumed for many power system applications, such as state estimation, oscillatory modes monitoring, voltage stability analysis, to cite a few. This letter proposes a simple yet effective approach to assess this assumption by using the stability property of a probability distribution and the concept of redundant measurement. Extensive results using field PMU data from WECC system reveal that the Gaussian assumption is questionable.},

  doi          = {10.1109/TPWRD.2017.2762927},

  journal      = {IEEE Transactions on Power Delivery},

  number       = 6,

  volume       = 33,

  place        = {United States},

  year         = {2017},

  month        = {10}

}

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https://doi.org/10.1109/TPWRD.2017.2762927

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