View Item 
  •   DSpace Home
  • Sistema de Bibliotecas USM
  • Tesis USM
  • TESIS de Postgrado de acceso ABIERTO
  • View Item
  •   DSpace Home
  • Sistema de Bibliotecas USM
  • Tesis USM
  • TESIS de Postgrado de acceso ABIERTO
  • View Item
    • español
    • English
  • English 
    • español
    • English
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

ROBUST SOLUTION SCHEME FOR THE UNIT COMMITMENT: AN ADAPTIVE DATA–DRIVEN LEARNING–BASED APPROACH

Thumbnail
View/Open
m18765991-4.pdf (9.657Mb)
Date
2021-10-22
Author
JIMÉNEZ BUSTAMANTE, DIEGO NICOLÁS
Metadata
Show full item record
Abstract
Robust optimization models of the unit commitment problem (RUC) have been widely used for the day–ahead calculation of power dispatches and reserves schedules under high penetration of renewable generation. Typically proposed uncertainty sets, as budget–based sets, control the level ofrobustness of the solutions by the selection of a certain set of parameters. However, the procedures for its calculation are often considered part of a preprocess, ignoring the possible benefits of the dynamic determination of it. In this work, a solution scheme for the RUC problem is proposed, using data–driven–based uncertainty sets, where robustness control parameters are dynamically calculated as a function of previous operation results. The determination of the adaptive robustness level is made using a reinforcement learning approach, resulting in a closed–loop data–driven framework. Besides, an experimental framework that simulates real–time operation is proposed and used to test the proposal. Out–of–sample experiments shown the effectiveness of the proposed scheme against well–known robust formulations with fixed robustness levels, by improving systematic indicators as operational costs, non–served energy, and renewable energy curtailment. Two systems of different scales are analyzed, showing the concept effectiveness and the scalability of the present proposal.
URI
https://hdl.handle.net/11673/52714
Collections
  • TESIS de Postgrado de acceso ABIERTO

© Universidad Técnica Federico Santa María
Avenida España 1680, Edificio U, Valparaíso· 56-32-2654147, Informaciones escribir a email repositorio@usm.cl Repositorio Digital administrado por el Área de Archivo Digital, Dirección de Información y Documentación Bibliográfica Institucional

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV


USM
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsAdvisorProgramOther AdvisorThis CollectionBy Issue DateAuthorsTitlesSubjectsAdvisorProgramOther Advisor

My Account

Login

© Universidad Técnica Federico Santa María
Avenida España 1680, Edificio U, Valparaíso· 56-32-2654147, Informaciones escribir a email repositorio@usm.cl Repositorio Digital administrado por el Área de Archivo Digital, Dirección de Información y Documentación Bibliográfica Institucional

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV


USM