collaborators

5 papers

eess.SY2026

Making Every Bit Count for -Optimal State Estimation

Cameron Khanpour, Daniel Turizo, Samuel Talkington

We study the problem of controlling how a limited communication bandwidth budget is allocated across heterogeneously quantized sensor measurements. The performance criterion is the…

eess.SY2026

Admittance Matrix Concentration Inequalities for Understanding Uncertain Power Networks

Samuel Talkington, Cameron Khanpour, Rahul K. Gupta +5

This paper presents conservative probabilistic bounds for the spectrum of the admittance matrix and classical linear power flow models under uncertain network parameters; for examp…

math.OC2026

Invertibility Conditions for the Admittance Matrices of Balanced Power Systems

Daniel Turizo, Daniel K. Molzahn

The admittance matrix encodes the network topology and electrical parameters of a power system in order to relate the current injection and voltage phasors. Since admittance matric…

eess.SY2025

Differentiating Through Power Flow Solutions for Admittance and Topology Control

Samuel Talkington, Daniel Turizo, Sergio A. Dorado-Rojas +2

The power flow equations relate bus voltage phasors to power injections via the network admittance matrix. These equations are central to the key operational and protection functio…

math.OC2025

Discrete Shortest Paths in Optimal Power Flow Feasible Regions

Daniel Turizo, Diego Cifuentes, Anton Leykin +1

Optimal power flow (OPF) is a critical optimization problem for power systems to operate at points where cost or other operational objectives are optimized. Due to the non-convexit…