FLiER: Practical Topology Update Detection Using Sparse PMUs

Abstract

Abstract-In this paper, we present a Fingerprint Linear Estimation Routine (FLiER) to identify topology changes in power networks using readings from sparsely-deployed phasor measurement units (PMUs). When a power line, load, or generator trips in a network, or when a substation is reconfigured, the event leaves a unique "voltage fingerprint" of bus voltage changes that we can identify using only the portion of the network directly observed by the PMUs. The naive brute-force approach to identify a failed line from such voltage fingerprints, though simple and accurate, is slow. We derive an approximate algorithm based on a local linearization and a novel filtering approach that is faster and only slightly less accurate. We present experimental results using the IEEE 57-bus, IEEE 118-bus, and Polish 1999-2000 winter peak networks.

Electric Power Network State Tracking From Multirate Measurements

“…Further extensions of this work will include investigation of how scarce synchrophasor measurements could be used to detect changes in network topology (this functionality is implicitly assumed in proposed approach) following the ideas presented in [31] and [32].…”

Power electrical network topology detection using changes of phasor measurements in transient states

“…Many approaches using PMU were proposed to detect topological network changes caused by line outages [2][3][4][5][6]. The starting point in these approaches is that the line outage causes changes of the voltage phasor (voltage magnitude and phase angle) at all buses of a power network, and these changes are larger than the variation of voltage phasor during normal operation, for example, during swings.…”