Seyedbehzad Nabavi

Learn More
—In this paper, we present a set of distributed algorithms for estimating the electro-mechanical oscillation modes of large power system networks using Synchrophasors. With the number of Phasor Measurement Units (PMUs) in the North American grid scaling up to thousands, system operators are gradually inclining towards distributed cyber-physical(More)
— In our recent paper [1], we proposed a distributed PMU-PDC architecture for estimating power system oscillation modes by integrating a Prony-based algorithm with Alternating Direction Method of Multipliers (ADMM). A critical assumption behind the proposed method was that the communication between local PDCs and the central averager is completely(More)
—In this paper we propose two algorithms to identify the equivalent topology of reduced-order models of power systems using measurements of phase angles and frequencies available from Phasor Measurement Units (PMUs). We first show that the topology identification problem can be posed as a parameter estimation problem. Thereafter, we extract the slow(More)
— In this paper we present a sufficient condition that guarantees identifiability of linear network dynamic systems exhibiting continuous-time weighted consensus protocols with acyclic structure. Each edge of the underlying network graph G of the system is defined by a constant parameter, referred to as the weight of the edge, while each node is defined by(More)