Decomposing Loosely Coupled Mixed-Integer Programs for Optimal Microgrid Design

DOI10.1287/ijoc.2020.0955OpenAlexW3126545888MaRDI QIDQ5084598

Alexander J. Zolan, David P. Morton, Michael S. Scioletti, Alexandra M. Newman

Publication date: 28 June 2022

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://www.osti.gov/biblio/1768297

zbMATH Keywords

decompositionmixed integer programmingmicrogriddesign and dispatch

Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX)

Related Items (2)

Real-time dispatch optimization for concentrating solar power with thermal energy storage ⋮ Optimal design and dispatch of a hybrid microgrid system capturing battery fade

Uses Software

• BARON
• CPLEX
• Couenne
• Bonmin
• alphaBB
• APOGEE
• Python
• GitHub

Cites Work

• Bonmin
• APOGEE
• Obtaining lower bounds from the progressive hedging algorithm for stochastic mixed-integer programs
• Cluster Lagrangean decomposition in multistage stochastic optimization
• Modeling disjunctive constraints with a logarithmic number of binary variables and constraints
• Optimal design and dispatch of a system of diesel generators, photovoltaics and batteries for remote locations
• \(\alpha BB\): A global optimization method for general constrained nonconvex problems
• BARON: A general purpose global optimization software package
• An adaptive, multivariate partitioning algorithm for global optimization of nonconvex programs
• Optimal design and dispatch of a hybrid microgrid system capturing battery fade
• Solving Mixed Integer Bilinear Problems Using MILP Formulations
• Mixed-Integer Models for Nonseparable Piecewise-Linear Optimization: Unifying Framework and Extensions
• Improving Discrete Model Representations via Symmetry Considerations
• Scenarios and Policy Aggregation in Optimization Under Uncertainty
• Analysis of MILP Techniques for the Pooling Problem
• Optimizing Military Airlift
• Jointly Constrained Biconvex Programming
• Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems
• Benchmarking optimization software with performance profiles.

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