Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems
type: Item
instance of: scholarly article
title: Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems
zbMATH Open document ID: 1490.90310
author: Yanyan Li
published in: European Journal of Operational Research
publication date: 2021-12-13T00:00:00Z
Mathematics Subject Classification ID: 90C90
Mathematics Subject Classification ID: 90C11
zbMATH DE Number: 7442955
zbMATH Keywords: OR in energy
zbMATH Keywords: power systems
zbMATH Keywords: generation transmission expansion
zbMATH Keywords: mixed-integer programming
zbMATH Keywords: decomposition algorithm
MaRDI profile type: Publication
full work available at URL: j.ejor.2021.06.024
OpenAlex ID: W3179061518
cites work: Decomposition and Partitioning Methods for Multistage Stochastic Linear Programs
cites work: Implementing Automatic Benders Decomposition in a Modern MIP Solver
cites work: Deterministic electric power infrastructure planning: mixed-integer programming model and nested decomposition algorithm
cites work: Wind farm portfolio optimization under network capacity constraints
cites work: A model and approach to the challenge posed by optimal power systems planning
cites work: The Benders decomposition algorithm: a literature review
cites work: Stochastic dual dynamic integer programming
DOI: 10.1016/J.EJOR.2021.06.024
description: scientific article; zbMATH DE number 7442955