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Anomaly Detection Using Optimally-Placed μPMU Sensors in Distribution Grids

Journal Article · · IEEE Transactions on Power Systems
 [1];  [2];  [3];  [3];  [3];  [3];  [4]
  1. Arizona State Univ., Tempe, AZ (United States). Electrical, Computer, and Energy Engineering
  2. Arizona State Univ., Tempe, AZ (United States). School of Electrical, Computer and Energy Engineering
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  4. Power Standards Lab., Alameda, CA (United States)
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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.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Electricity Delivery and Energy Reliability (OE), Infrastructure Security and Energy Restoration (ISER) (OE-30)
Grant/Contract Number:
AC02-05CH11231; OE0000780
OSTI ID:
1415973
Journal Information:
IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 4 Vol. 33; ISSN 0885-8950
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

Cited By (1)

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

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Related Subjects

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