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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/70027
Title: 
Branch and bound algorithm for transmission network expansion planning using DC model
Author(s): 
Institution: 
  • IEEE
  • Universidade Estadual de Campinas (UNICAMP)
  • Universidade Estadual Paulista (UNESP)
Abstract: 
This paper presents an algorithm to solve the network transmission system expansion planning problem using the DC model which is a mixed non-linear integer programming problem. The major feature of this work is the use of a Branch-and-Bound (B&B) algorithm to directly solve mixed non-linear integer problems. An efficient interior point method is used to solve the non-linear programming problem at each node of the B&B tree. Tests with several known systems are presented to illustrate the performance of the proposed method. ©2007 IEEE.
Issue Date: 
1-Dec-2007
Citation: 
2007 IEEE Lausanne POWERTECH, Proceedings, p. 1350-1355.
Time Duration: 
1350-1355
Keywords: 
  • Branch-and-bound algorithm
  • DC model
  • Higher order interior point method
  • Mixed integer nonlinear programming
  • Power transmission planning
  • Boolean functions
  • Computer networks
  • Dynamic programming
  • Electric power transmission
  • Electric power transmission networks
  • Linearization
  • Mathematical programming
  • Nonlinear programming
  • Linear programming
Source: 
http://dx.doi.org/10.1109/PCT.2007.4538512
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/70027
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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