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

FLiER: Practical Topology Update Detection Using Sparse PMUs