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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/65277
Title: 
Comparative studies on non-convex optimization methods for transmission network expansion planning
Author(s): 
Institution: 
  • Universidade Estadual de Campinas (UNICAMP)
  • Universidade Estadual Paulista (UNESP)
ISSN: 
0272-1724
Abstract: 
We have investigated and extensively tested three families of non-convex optimization approaches for solving the transmission network expansion planning problem: simulated annealing (SA), genetic algorithms (GA), and tabu search algorithms (TS). The paper compares the main features of the three approaches and presents an integrated view of these methodologies. A hybrid approach is then proposed which presents performances which are far better than the ones obtained with any of these approaches individually. Results obtained in tests performed with large scale real-life networks are summarized.
Issue Date: 
1-Dec-1997
Citation: 
IEEE Power Engineering Review, v. 17, n. 12, p. 58-, 1997.
Time Duration: 
58
Keywords: 
  • Combinatorial optimization
  • Genetic algorithm
  • Network static expansion planning
  • Simulated annealing
  • Tabu search
Source: 
http://dx.doi.org/10.1109/PICA.1997.599370
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/65277
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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