detection/localization) rely on the assumption that the underlying topology is accurately
defined. In general, topology identification is a challenging problem in distribution systems
as these systems are unobservable with a very limited number of available measurements.
In this paper, we tackle this problem by designing a compressive sensing framework that
jointly estimates the systems states and network topology via an integrated mixed integer …