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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:
 [1];  [2];  [1];  [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States). Bradley Dept. of Electrical and Computer Engineering
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (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.
Wang, Shaobu, Zhao, Junbo, Huang, Zhenyu, & Diao, Ruisheng. Assessing Gaussian Assumption of PMU Measurement Error Using Field Data. United States. doi:10.1109/TPWRD.2017.2762927.
Wang, Shaobu, Zhao, Junbo, Huang, Zhenyu, and Diao, Ruisheng. Fri . "Assessing Gaussian Assumption of PMU Measurement Error Using Field Data". United States. doi:10.1109/TPWRD.2017.2762927. https://www.osti.gov/servlets/purl/1438236.
@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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Figures / Tables:

Fig. 1 Fig. 1: Different Configurations of Circuit Breakers.

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