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Found 3 papers, 1 papers with code
Optimally Managing the Impacts of Convergence Tolerance for Distributed Optimal Power Flow
The future power grid may rely on distributed optimization to determine the set-points for huge numbers of distributed energy resources.
Detecting Shared Data Manipulation in Distributed Optimization Algorithms
We evaluate the detection conditions' performance on three data manipulation strategies we previously proposed: simple, feedback, and bilevel optimization attacks.
PowerModelsADA: A Framework for Solving Optimal Power Flow using Distributed Algorithms
This paper presents PowerModelsADA, an open-source framework for solving Optimal Power Flow (OPF) problems using Alternating Distributed Algorithms (ADA).
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