6 papers
Not All Warm Starts Help: Benchmarking Primal-Dual Initializations for ACOPF Algorithms
Babak Taheri, Daniel K. Molzahn
Warm starts are widely used to accelerate AC optimal power flow (ACOPF) solves, but the impact of different initialization strategies has received limited systematic study, particu…
AC-Informed DC Optimal Transmission Switching Problems via Parameter Optimization
Babak Taheri, Daniel K. Molzahn
Optimal Transmission Switching (OTS) problems minimize operational costs while treating both the transmission line energization statuses and generator setpoints as decision variabl…
Improving the Accuracy of DC Optimal Power Flow Formulations via Parameter Optimization
Babak Taheri, Daniel K. Molzahn
DC Optimal Power Flow (DC-OPF) problems optimize the generators' active power setpoints while satisfying constraints based on the DC power flow linearization. The computational tra…
Optimizing Parameters of the LinDistFlow Power Flow Approximation for Distribution Systems
Babak Taheri, Rahul K. Gupta, Daniel K. Molzahn
The DistFlow model accurately represents power flows in distribution systems, but the model's nonlinearities result in computational challenges for many applications. Accordingly,…
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…
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…