Investigation of feasible and marginal operating regimes of electric power systems
From MaRDI portal
Publication:6607896
DOI10.1134/s0005117924050059zbMATH Open1542.9315MaRDI QIDQ6607896
Elena N. Gryazina, D. Y. Baluev
Publication date: 19 September 2024
Published in: Automation and Remote Control (Search for Journal in Brave)
samplingNewton's methodpower flow equationsadmissible domain of power systemsquadratic mapping image
Cites Work
- Random sampling: billiard walk algorithm
- Randomized methods based on new Monte Carlo schemes for control and optimization
- Convexity of quadratic transformations and its use in control and optimization
- Sparse solutions of optimal control via Newton method for under-determined systems
- Why does Monte Carlo fail to work properly in high-dimensional optimization problems?
- Stability regions in the parameter space: \(D\)-decomposition revisited
- Efficient Monte Carlo Procedures for Generating Points Uniformly Distributed over Bounded Regions
- The Markov chain Monte Carlo revolution
- Convexity/Nonconvexity Certificates for Power Flow Analysis
- On the Computation of Multidimensional Integrals by the Monte-Carlo Method
- New versions of Newton method: step-size choice, convergence domain and under-determined equations
- Convexity of nonlinear image of a small ball with applications to optimization
This page was built for publication: Investigation of feasible and marginal operating regimes of electric power systems