Anomaly Detection Using Optimally-Placed micro-PMU Sensors in Distribution Grids

Jamei, M., Scaglione, A., Roberts, C., Stewart, E., Peisert, S., McParland, C., & McEachern, A.
Citation:

IEEE Transactions on Power Systems, vol. PP, no. 99, pp. 1-1.
doi: 10.1109/TPWRS.2017.2764882

NOTE: Actual title of paper is "Anomaly Detection Using Optimally-Placed µPMU Sensors in Distribution Grids"

Visit Publisher Online Entry:
Abstract:

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. In this paper, 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. Due to the key role of the µPMU devices in our architecture, an optimal µPMU placement with limited number of sensors 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.

Publication Status:
Published
Publication Type:
Journal Article
Publication Date:
10/25/2017
Copyright Notice:

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

  1. The following copyright notice applies to all of the above items that appear in IEEE publications: "Personal use of this material is permitted. However, permission to reprint/publish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from IEEE."

  2. The following copyright notice applies to all of the above items that appear in ACM publications: "© ACM, effective the year of publication shown in the bibliographic information. This file is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the journal or proceedings indicated in the bibliographic data for each item."

  3. The following copyright notice applies to all of the above items that appear in IFAC publications: "Document is being reproduced under permission of the Copyright Holder. Use or reproduction of the Document is for informational or personal use only."