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Unit Commitment problem with uncertain demand and renewable energy availability
Aguayo, Cristian; Fortz, Bernard
202433rd European Conference on Operational Research (EURO 2024)
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Keywords :
OR in Energy; Combinatorial Optimization; Robust Optimization
Abstract :
[en] Energy generation is an area where four of the many problems facing humanity today - the energy crisis, climate change, scarcity of natural resources and global warming - interact in a vicious circle. In this scenario, it is not surprising that governments around the world are reviewing their energy policies. Agents such as Renewable Energy Sources (RES) and Local Energy Communities (LEC) can play a fundamental role in the energy transition. However, the optimization of operational costs continues to be a relevant factor. The Unit Commitment (UC) problem is one of the classical approaches to optimize these costs. This problem involves decisions related to the schedule of generating units as well as the power they must produce in order to meet the total power demand, where the last one can be deterministic or uncertain. By integrating RES, a new source of uncertainty is added to the problem. In this work, various formulations for the UC problem with uncertainty are presented and solved using benchmark data.
Disciplines :
Quantitative methods in economics & management
Author, co-author :
Aguayo, Cristian
Fortz, Bernard  ;  Université de Liège - ULiège > HEC Liège Research > HEC Liège Research: Business Analytics & Supply Chain Mgmt
Language :
English
Title :
Unit Commitment problem with uncertain demand and renewable energy availability
Publication date :
July 2024
Event name :
33rd European Conference on Operational Research (EURO 2024)
Event place :
Copenhague, Denmark
Event date :
30th June – 3rd July 2024
Audience :
International
Peer reviewed :
Editorial reviewed
Available on ORBi :
since 13 August 2024

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