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Title: A matheuristic approach for the Unit Commitment problem in electrical power system operations
Author: Valarezo Rivera, Orlando Mauricio
Director: Juan, Angel A.  
Tutor: García-Villoria, Alberto  
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.
Keywords: matheuristics
linear programming
stochastic processes
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 19-Sep-2019
Publication license:  
Appears in Collections:Bachelor thesis, research projects, etc.

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