1 citations · 3 across the 11 of their papers we have counts for
10 papers · 1 filter
Managing Vehicle Charging During Emergencies via Conservative Distribution System Modeling
Alejandro D. Owen Aquino, Samuel Talkington, Daniel K. Molzahn
Combinatorial distribution system optimization problems, such as scheduling electric vehicle (EV) charging during evacuations, present significant computational challenges. These c…
AC Power Flow Informed Parameter Learning for DC Power Flow Network Equivalents
Babak Taheri, Daniel K. Molzahn
This paper presents an algorithm to optimize the parameters of power systems equivalents to enhance the accuracy of the DC power flow approximation in reduced networks. Based on a…
Optimally Managing the Impacts of Convergence Tolerance for Distributed Optimal Power Flow
Rachel Harris, Mohannad Alkhraijah, Daniel K. Molzahn
The future power grid may rely on distributed optimization to determine the set-points for huge numbers of distributed energy resources. There has been significant work on applying…
Tightening QC Relaxations of AC Optimal Power Flow through Improved Linear Convex Envelopes
Mohammad Rasoul Narimani, Daniel K. Molzahn, Katherine R. Davis +1
AC optimal power flow (AC OPF) is a fundamental problem in power system operations. Accurately modeling the network physics via the AC power flow equations makes AC OPF a challengi…
On the Detection of Shared Data Manipulation in Distributed Optimization
Mohannad Alkhraijah, Rachel Harris, Samuel Litchfield +2
This paper investigates the vulnerability of the Alternating Direction Method of Multipliers (ADMM) algorithm to shared data manipulation, with a focus on solving optimal power flo…
Optimizing Parameters of the DC Power Flow
Babak Taheri, Daniel K. Molzahn
Many power system operation and planning problems use the DC power flow approximation to address computational challenges from the nonlinearity of the AC power flow equations. The…