Data-driven approach for distribution network topology detection

This paper proposes a data-driven approach to detect the switching actions and topology transitions in distribution networks. It is based on the real time analysis of time-series voltages measurements. The analysis approach draws on data from high-precision phasor measurement units (μPMUs or synchro...

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Bibliographic Details
Main Authors: Cavraro, G., Arghandeh, R., Poolla, K., von Meier, A.
Format: Conference Proceeding
Language:English
Subjects:
Libraries
Network topology
Phasor measurement units
Switches
Topology
Voltage measurement
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Summary:This paper proposes a data-driven approach to detect the switching actions and topology transitions in distribution networks. It is based on the real time analysis of time-series voltages measurements. The analysis approach draws on data from high-precision phasor measurement units (μPMUs or synchrophasors) for distribution networks. The key fact is that time-series measurement data taken from the distribution network has specific patterns representing state transitions such as topology changes. The proposed algorithm is based on comparison of actual voltage measurements with a library of signatures derived from the possible topologies simulation. The IEEE 33-bus model is used for the algorithm validation.
ISSN:1932-5517
DOI:10.1109/PESGM.2015.7286490