  Motivated by increasing penetration of distributed generators (DGs) and fast
development of micro-phasor measurement units ({\mu}PMUs), this paper proposes
a novel graph-based faulted line identification algorithm using a limited
number of {\mu}PMUs in distribution networks. The core of the proposed method
is to apply advanced distribution system state estimation (DSSE) techniques
integrating {\mu}PMU data to the fault location. We propose a distributed DSSE
algorithm to efficiently restrict the searching region for the fault source in
the feeder between two adjacent {\mu}PMUs. Based on the graph model of the
feeder in the reduced searching region, we further perform the DSSE in a
hierarchical structure and identify the location of the fault source. Also, the
proposed approach captures the impact of DGs on distribution system operation
and remains robust against high-level noises in measurements. Numerical
simulations verify the accuracy and efficiency of the proposed method under
various fault scenarios covering multiple fault types and fault impedances.
