Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/5478
Title: | Stability analysis of efficient solutions in multiobjective integer programming: A case study in load management | Authors: | Alves, Maria João Clímaco, João Antunes, Carlos Henggeler Jorge, Humberto Martins, António G. |
Keywords: | Multiobjective integer programming; Interactive methods; Energy management | Issue Date: | 2008 | Citation: | Computers & Operations Research. 35:1 (2008) 186-197 | Abstract: | This paper presents a multiobjective linear integer programming model for supporting the choice of remote load control strategies in electric distribution network management. The model takes into account the main concerns in load management, considering three objective functions: minimization of the peak demand as perceived by the distribution network dispatch center, maximization of the utility profit associated with the energy services delivered by the controlled loads and minimization of the discomfort caused to consumers. The problem was analyzed using an interactive reference point method for multiobjective integer (and mixed-integer) linear programming. This approach exploits the use of the branch-and-bound algorithm for solving the reference point scalarizing programs through which efficient solutions are computed. Post-optimality techniques enable a stability analysis of the efficient solutions by means of computing and displaying graphically sets of reference points that correspond to the same solution. | URI: | https://hdl.handle.net/10316/5478 | DOI: | 10.1016/j.cor.2006.02.030 | Rights: | openAccess |
Appears in Collections: | FEUC- Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
file803129036adf4639a83f691647cca8a6.pdf | 431.83 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
2
checked on Oct 7, 2024
WEB OF SCIENCETM
Citations
2
checked on Oct 2, 2024
Page view(s) 50
582
checked on Oct 15, 2024
Download(s)
517
checked on Oct 15, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.