Please use this identifier to cite or link to this item:

http://hdl.handle.net/10609/100766
Title: A matheuristic approach for the Unit Commitment problem in electrical power system operations
Author: Valarezo Rivera, Orlando Mauricio
Director: Juan Pérez, Ángel Alejandro
Tutor: García Villoria, Alberto
Keywords: matheuristics
GRASP
MILP
linear programming
stochastic processes
Issue Date: 19-Sep-2019
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: In this study, a stochastic Unit Commitment (UC) problem is described and formulated where the wind uncertainty is captured by simulating a certain number of scenarios. Because the large number of scenarios dramatically increases computational complexity, this work proposes a matheuristic method to reduce the number of variables and the combinatorial search space of the UC. This hybrid method employs the greedy randomized adaptive search procedure (GRASP) to obtain a reduced UC before conducting a MILP algorithm. This search space reduction strategy will result in faster convergence of the MILP solver and potentially a better solution for the UC.
Language: English
URI: http://hdl.handle.net/10609/100766
Appears in Collections:Bachelor thesis, research projects, etc.

Share:
Export:
Files in This Item:
File Description SizeFormat 
ovalarezoTFM0919memory.pdfMemory of TFM3.99 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons