Global optimization for the multilevel European gas market system with nonlinear flow models on trees
DOI10.1007/s10898-021-01099-8zbMath1486.90060OpenAlexW3208100382MaRDI QIDQ2114602
Martin Schmidt, Johannes Thürauf, Lars Schewe
Publication date: 15 March 2022
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10898-021-01099-8
robust optimizationmultilevel optimizationmixed integer nonlinear optimizationEuropean entry-exit gas marketnonlinear flows
Programming involving graphs or networks (90C35) Mixed integer programming (90C11) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30) Transportation, logistics and supply chain management (90B06) Deterministic network models in operations research (90B10)
Related Items (4)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Transmission and generation investment in electricity markets: the effects of market splitting and network fee regimes
- Computing technical capacities in the European entry-exit gas market is NP-hard
- A survey of adjustable robust optimization
- The cost of decoupling trade and transport in the European entry-exit gas market with linear physics modeling
- Structural properties of feasible bookings in the European entry-exit gas market system
- Bookings in the European gas market: characterisation of feasibility and computational complexity results
- A multilevel model of the European entry-exit gas market
- Robust optimal discrete arc sizing for tree-shaped potential networks
- Evaluating Gas Network Capacities
- The polynomial hierarchy and a simple model for competitive analysis
- A Representation and Economic Interpretation of a Two-Level Programming Problem
- New Branch-and-Bound Rules for Linear Bilevel Programming
- Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems
- Solving the Pipe Network Analysis Problem Using Optimization Techniques
- Optimal price zones of electricity markets: a mixed-integer multilevel model and global solution approaches
- Algorithmic results for potential‐based flows: Easy and hard cases
- Chapter 5: Mathematical optimization for evaluating gas network capacities
- Pyomo -- optimization modeling in Python
- Benchmarking optimization software with performance profiles.
This page was built for publication: Global optimization for the multilevel European gas market system with nonlinear flow models on trees