210 citations · 532 across the 49 of their papers we have counts for
56 papers
A Fault-Tolerant Distributed Termination Method for Distributed Optimization Algorithms
Mohannad Alkhraijah, Daniel K. Molzahn
This paper proposes a fully distributed termination method for distributed optimization algorithms solved by multiple agents. The proposed method guarantees terminating a distribut…
Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations
Rahul K. Gupta, Paprapee Buason, Daniel K. Molzahn
This paper proposes a framework for fairly curtailing photovoltaic (PV) plants in response to the over-voltage problem in PV-rich distribution networks. The framework imposes PV ge…
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…