Distribution Network Topology Detection with Time Series Measurement Data Analysis

Guido Cavraro; Reza Arghandeh; Alexandra von Meier

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arXiv · 1504.05926

Distribution Network Topology Detection with Time Series Measurement Data Analysis

Guido Cavraro·Reza Arghandeh·Alexandra von Meier

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Abstract

This paper proposes a novel approach for detecting the topology of distribution networks based on the analysis of time series measurements. The time-based analysis approach draws on data from high-precision phasor measurement units (PMUs or synchrophasors) for distribution systems. A key fact is that time-series data taken from a dynamic system show specific patterns regarding state transitions such as opening or closing switches, as a kind of signature from each topology change. The proposed algorithm here is based on the comparison of the actual signature of a recent state transition against a library of signatures derived from topology simulations. The IEEE 33-bus model is used for initial algorithm validation.

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Guido Cavraro, Reza Arghandeh, Alexandra von Meier. 2015-04-22. Distribution Network Topology Detection with Time Series Measurement Data Analysis. https://arxiv.org/abs/1504.05926

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