Anomaly Detection Using Optimally-Placed μPMU Sensors in Distribution Grids

Jamei, Mahdi; Scaglione, Anna; Roberts, Ciaran; Stewart, Emma; Peisert, Sean; McParland, Chuck; McEachern, Alex

doi:10.1109/TPWRS.2017.2764882

Title: Anomaly Detection Using Optimally-Placed μPMU Sensors in Distribution Grids

Abstract

IEEE As the distribution grid moves toward a tightly-monitored network, it is important to automate the analysis of the enormous amount of data produced by the sensors to increase the operators situational awareness about the system. Here, focusing on Micro-Phasor Measurement Unit (μPMU) data, we propose a hierarchical architecture for monitoring the grid and establish a set of analytics and sensor fusion primitives for the detection of abnormal behavior in the control perimeter. And due to the key role of the μPMU devices in our architecture, a source-constrained optimal μPMU placement is also described that finds the best location of the devices with respect to our rules. The effectiveness of the proposed methods are tested through the synthetic and real μPMU data.

Authors:

Jamei, Mahdi ^[1]; Scaglione, Anna ^[2]; Roberts, Ciaran ^[3]; Stewart, Emma ^[3]; Peisert, Sean ^[3]; McParland, Chuck ^[3]; McEachern, Alex ^[4]

Arizona State Univ., Tempe, AZ (United States). Electrical, Computer, and Energy Engineering
Arizona State Univ., Tempe, AZ (United States). School of Electrical, Computer and Energy Engineering
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Power Standards Lab., Alameda, CA (United States)

Publication Date:: Wed Oct 25 00:00:00 EDT 2017

Research Org.:: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Sponsoring Org.:: USDOE Office of Cybersecurity, Energy Security, and Emergency Response (CESER), Infrastructure Security and Energy Restoration (ISER)

OSTI Identifier:: 1415973

Grant/Contract Number:: AC02-05CH11231; OE0000780

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Power Systems

Additional Journal Information:: Journal Volume: 33; Journal Issue: 4; Journal ID: ISSN 0885-8950

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 24 POWER TRANSMISSION AND DISTRIBUTION; distribution grid; micro-phasor measurement unit (μPMU); anomaly detection; optimal placement

Citation Formats


                    Jamei, Mahdi, Scaglione, Anna, Roberts, Ciaran, Stewart, Emma, Peisert, Sean, McParland, Chuck, and McEachern, Alex. Anomaly Detection Using Optimally-Placed μPMU Sensors in Distribution Grids.  United States: N. p., 2017. 
Web.  doi:10.1109/TPWRS.2017.2764882.

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                    Jamei, Mahdi, Scaglione, Anna, Roberts, Ciaran, Stewart, Emma, Peisert, Sean, McParland, Chuck, & McEachern, Alex. Anomaly Detection Using Optimally-Placed μPMU Sensors in Distribution Grids.  United States.  https://doi.org/10.1109/TPWRS.2017.2764882

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                    Jamei, Mahdi, Scaglione, Anna, Roberts, Ciaran, Stewart, Emma, Peisert, Sean, McParland, Chuck, and McEachern, Alex. Wed .  
"Anomaly Detection Using Optimally-Placed μPMU Sensors in Distribution Grids".  United States.  https://doi.org/10.1109/TPWRS.2017.2764882.  https://www.osti.gov/servlets/purl/1415973.

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@article{osti_1415973,

  title        = {Anomaly Detection Using Optimally-Placed μPMU Sensors in Distribution Grids},

  author       = {Jamei, Mahdi and Scaglione, Anna and Roberts, Ciaran and Stewart, Emma and Peisert, Sean and McParland, Chuck and McEachern, Alex},

  abstractNote = {IEEE As the distribution grid moves toward a tightly-monitored network, it is important to automate the analysis of the enormous amount of data produced by the sensors to increase the operators situational awareness about the system. Here, focusing on Micro-Phasor Measurement Unit (μPMU) data, we propose a hierarchical architecture for monitoring the grid and establish a set of analytics and sensor fusion primitives for the detection of abnormal behavior in the control perimeter. And due to the key role of the μPMU devices in our architecture, a source-constrained optimal μPMU placement is also described that finds the best location of the devices with respect to our rules. The effectiveness of the proposed methods are tested through the synthetic and real μPMU data.},

  doi          = {10.1109/TPWRS.2017.2764882},

  journal      = {IEEE Transactions on Power Systems},

  number       = 4,

  volume       = 33,

  place        = {United States},

  year         = {Wed Oct 25 00:00:00 EDT 2017},

  month        = {Wed Oct 25 00:00:00 EDT 2017}

}

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Works referencing / citing this record:

Enhancing observability in MILP-based optimal joint allocation of PMU channels and conventional measurements with new security concepts
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Esmaili, Masoud; Ghamsari-Yazdel, Mohammad; Sharifi, Reza
Energy Systems, Vol. 10, Issue 3
DOI: 10.1007/s12667-018-0289-5

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Title: Anomaly Detection Using Optimally-Placed μPMU Sensors in Distribution Grids

Abstract

Citation Formats

Enhancing observability in MILP-based optimal joint allocation of PMU channels and conventional measurements with new security concepts journal, April 2018

Enhancing observability in MILP-based optimal joint allocation of PMU channels and conventional measurements with new security concepts
journal, April 2018