24 citations · 48 across the 6 of their papers we have counts for
6 papers
Learning Interior Point Method Central Path Projection for Optimal Power Flow
Farshad Amani, Amin Kargarian, Ramachandran Vaidyanathan
This paper proposes a learning-based approach to accelerate the interior-point method (IPM) for solving optimal power flow (OPF) problems by learning the structure of the IPM centr…
Trainable Variational Quantum-Multiblock ADMM Algorithm for Generation Scheduling
Reza Mahroo, Amin Kargarian
The advent of quantum computing can potentially revolutionize how complex problems are solved. This paper proposes a two-loop quantum-classical solution algorithm for generation sc…
Hybrid Quantum-Classical Unit Commitment
Reza Mahroo, Amin Kargarian
This paper proposes a hybrid quantum-classical algorithm to solve a fundamental power system problem called unit commitment (UC). The UC problem is decomposed into a quadratic subp…
Hybrid Learning Aided Inactive Constraints Filtering Algorithm to Enhance AC OPF Solution Time
Fouad Hasan, Amin Kargarian, Javad Mohammadi
The Optimal power flow (OPF) problem contains many constraints. However, equality constraints along with a limited set of active inequality constraints encompass sufficient informa…
A Time Decomposition and Coordination Strategy for Power System Multi-Interval Operation
Farnaz Safdarian, Okan Ciftci, Amin Kargarian
This paper presents a time decomposition strategy to reduce the computational complexity of power system multi-interval operation problems. We focus on the economic dispatch proble…
Tie-Line Characteristics based Partitioning for Distributed Optimization of Power Systems
Ali Mohammadi, Mahdi Mehrtash, Amin Kargarian +1
The convergence performance of distributed optimization algorithms is of significant importance to solve optimal power flow (OPF) in a distributed fashion. In this paper, we aim to…