Two-stage stochastic optimization for optimal power flow under renewable generation uncertainty
DOI10.1145/2553084zbMath1322.90055OpenAlexW2089580348MaRDI QIDQ5176910
Soumyadip Ghosh, Dzung T. Phan
Publication date: 5 March 2015
Published in: ACM Transactions on Modeling and Computer Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1145/2553084
stochastic optimizationdecomposition algorithmsglobal solutionoptimal power flowsample-average approximation
Stochastic programming (90C15) Approximation methods and heuristics in mathematical programming (90C59) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76) Approximation algorithms (68W25) Resource and cost allocation (including fair division, apportionment, etc.) (91B32)
Related Items (2)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- An algorithmic framework for convex mixed integer nonlinear programs
- On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators
- A dual algorithm for the solution of nonlinear variational problems via finite element approximation
- Solving mixed integer nonlinear programs by outer approximation
- A polyhedral branch-and-cut approach to global optimization
- Multiplier and gradient methods
- Generalized Benders decomposition
- Lagrangian Duality and Branch-and-Bound Algorithms for Optimal Power Flow
- Exact Convex Relaxation of Optimal Power Flow in Radial Networks
- A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
- Lectures on Stochastic Programming
- An outer-approximation algorithm for a class of mixed-integer nonlinear programs
- Fast Image Recovery Using Variable Splitting and Constrained Optimization
This page was built for publication: Two-stage stochastic optimization for optimal power flow under renewable generation uncertainty
