Detecting Topological Errors with Pre-Estimation Filtering of Bad Data in Wide-Area Measurements

Jakob Glarbo Møller; Mads Sørensen; Hjörtur Jóhannsson; Jacob Østergaard

doi:10.1109/PTC.2017.7980940

Detecting Topological Errors with Pre-Estimation Filtering of Bad Data in Wide-Area Measurements

Jakob Glarbo Møller, Mads Sørensen, Hjörtur Jóhannsson, Jacob Østergaard

Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

It is expected that bad data and missing topology information will become an issue of growing concern when power system state estimators are to exploit the high measurement reporting rates from phasor measurement units. This paper suggests to design state estimators with enhanced resilience against those issues. The work presented here include a review of a pre-estimation filter for bad data. A method for detecting branch status errors which may also be applied before the state estimation is then proposed. Both methods are evaluated through simulation on a novel test platform for wide-area measurement applications. It is found that topology errors may be detected even under influence of the large dynamics following the loss of a heavily loaded branch.

Original language	English
Title of host publication	Proceedings of 12th IEEE Power and Energy Society PowerTech Conference
Number of pages	6
Publisher	IEEE
Publication date	2017
DOIs	https://doi.org/10.1109/PTC.2017.7980940
Publication status	Published - 2017
Event	12th IEEE Power and Energy Society PowerTech Conference: Towards and Beyond Sustainable Energy Systems - University Place, University of Manchester., Manchester, United Kingdom Duration: 18 Jun 2017 → 22 Jun 2017

Conference

Conference	12th IEEE Power and Energy Society PowerTech Conference
Location	University Place, University of Manchester.
Country/Territory	United Kingdom
City	Manchester
Period	18/06/2017 → 22/06/2017

Keywords

Power system State Estimation
Topology Error
Bad Data
PMU
WAMS

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10.1109/PTC.2017.7980940

Preprint identifying topology errors with pre estimation filtering of bad dataSubmitted manuscript, 459 KB

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title = "Detecting Topological Errors with Pre-Estimation Filtering of Bad Data in Wide-Area Measurements",

abstract = "It is expected that bad data and missing topology information will become an issue of growing concern when power system state estimators are to exploit the high measurement reporting rates from phasor measurement units. This paper suggests to design state estimators with enhanced resilience against those issues. The work presented here include a review of a pre-estimation filter for bad data. A method for detecting branch status errors which may also be applied before the state estimation is then proposed. Both methods are evaluated through simulation on a novel test platform for wide-area measurement applications. It is found that topology errors may be detected even under influence of the large dynamics following the loss of a heavily loaded branch.",

keywords = "Power system State Estimation, Topology Error, Bad Data, PMU, WAMS",

author = "M{\o}ller, {Jakob Glarbo} and Mads S{\o}rensen and Hj{\"o}rtur J{\'o}hannsson and Jacob {\O}stergaard",

year = "2017",

doi = "10.1109/PTC.2017.7980940",

language = "English",

booktitle = "Proceedings of 12th IEEE Power and Energy Society PowerTech Conference",

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note = "12th IEEE Power and Energy Society PowerTech Conference : Towards and Beyond Sustainable Energy Systems, PowerTech Manchester 2017 ; Conference date: 18-06-2017 Through 22-06-2017",

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Møller, JG, Sørensen, M, Jóhannsson, H & Østergaard, J 2017, Detecting Topological Errors with Pre-Estimation Filtering of Bad Data in Wide-Area Measurements. in Proceedings of 12th IEEE Power and Energy Society PowerTech Conference. IEEE, 12th IEEE Power and Energy Society PowerTech Conference, Manchester, United Kingdom, 18/06/2017. https://doi.org/10.1109/PTC.2017.7980940

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AU - Sørensen, Mads

AU - Jóhannsson, Hjörtur

AU - Østergaard, Jacob

PY - 2017

Y1 - 2017

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AB - It is expected that bad data and missing topology information will become an issue of growing concern when power system state estimators are to exploit the high measurement reporting rates from phasor measurement units. This paper suggests to design state estimators with enhanced resilience against those issues. The work presented here include a review of a pre-estimation filter for bad data. A method for detecting branch status errors which may also be applied before the state estimation is then proposed. Both methods are evaluated through simulation on a novel test platform for wide-area measurement applications. It is found that topology errors may be detected even under influence of the large dynamics following the loss of a heavily loaded branch.

KW - Power system State Estimation

KW - Topology Error

KW - Bad Data

KW - PMU

KW - WAMS

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DO - 10.1109/PTC.2017.7980940

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Y2 - 18 June 2017 through 22 June 2017

ER -

Detecting Topological Errors with Pre-Estimation Filtering of Bad Data in Wide-Area Measurements

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Keywords

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