Search Results for author:
Found 6 papers, 1 papers with code
Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks
The real-time operation of large-scale infrastructure networks requires scalable optimization capabilities.
Approximations for Optimal Experimental Design in Power System Parameter Estimation
This paper is about computationally tractable methods for power system parameter estimation and Optimal Experiment Design (OED).
Essentially Decentralized Conjugate Gradients
Solving structured systems of linear equations in a non-centralized fashion is an important step in many distributed optimization and control algorithms.
Distributed Optimization
Optimization and Control
Systems and Control
Systems and Control
Distributed Power Flow and Distributed Optimization -- Formulation, Solution, and Open Source Implementation
Solving the power flow problem in a distributed fashion empowers different grid operators to compute the overall grid state without having to share grid models-this is a practical problem to which industry does not have off-the-shelf answers.
Optimization and Control Systems and Control Systems and Control
Online power system parameter estimation and optimal operation
The integration of renewables into electrical grids calls for optimization-based control schemes requiring reliable grid models.
ALADIN-$α$ -- An open-source MATLAB toolbox for distributed non-convex optimization
This paper introduces an open-source software for distributed and decentralized non-convex optimization named ALADIN-$\alpha$.
